Traditional D365 support usually delivers
- reactive ticket coverage
- repeated manual triage
- consultant-dependent troubleshooting
- weak knowledge reuse
- support spend consumed by recurring friction
- little reduction in future support burden
Dynamics, Supercharged. Finance, Mastered.
AI-powered managed operations for Microsoft Dynamics, with embedded finance execution and Office of the CFO capability. We help teams stabilize what they run today, improve workflows while the business keeps moving, and modernize when the environment is ready.
Indicative benchmarks modeled from comparable US/offshore managed services and finance operations engagements. Actual outcomes vary by environment, scope, and starting baseline.
Kendra supports organizations across legacy Dynamics, modern D365, custom CRM, business-critical custom applications, and mixed Microsoft business-system estates.
Modernization does not have to be the starting line. Whether you run AX, GP, SL, NAV/Navision, Business Central, F&O, CE, custom CRM, or business-critical internal applications, Kendra helps improve the operating model you have while building the path to what comes next.
Most engagements begin with a practical operating problem, not a blank-sheet transformation program.
We help turn these starting conditions into a clearer operating path.
Our work is meant to leave teams with clearer priorities, cleaner foundations, and a more usable path forward.
We focus on leaving the business in a better operating position than where it started.
Every engagement is anchored to a clear operating goal, whether the client is on a legacy Dynamics platform, a modern D365 estate, or a mixed environment.
Stabilize what you run today. Improve while the business keeps moving. Modernize when the environment is ready.
Land with managed support, extend into integration and AI enablement, activate Layer 6 autonomous support operations, then grow into finance operations and Office of the CFO support — all inside one disciplined subscription model. Each layer is designed to stabilize current systems, improve workflows, automate repeatable work, modernize in sequence, or help leadership move ahead with governed AI.
Continuous, SLA-backed application management across legacy Dynamics and modern D365 estates — AX, GP, SL, NAV/Navision, Business Central, Finance, Supply Chain, Sales, Customer Service, or Field Service.
Contained, auditable AI automations embedded into your Dynamics workflows — tied to measurable outcomes in cycle time, accuracy, and throughput, not vague AI strategy.
Outsourced finance transaction execution by a team working natively in your Dynamics environment — with controls, close-calendar discipline, and segregation of duties.
For organizations running a legacy, custom, or SQL-based CRM — or business-critical internal applications — alongside Dynamics 365 Finance & Operations or Business Central, we help assess the landscape, reconcile core data, define integration patterns, and build a more workable operating model.
Finance execution and controller support overlaid on your Dynamics stack — cash forecasting, management reporting, board-ready packages, and M&A coordination.
A governed autonomous support model that triages tickets, diagnoses common issues, retrieves grounded answers, executes approved remediations safely, validates outcomes, and closes routine Dynamics issues with auditability.
Kendra turns Dynamics support from reactive labor into compounding operational leverage. We keep the environment running, identify what should no longer require manual effort, and convert recurring support burden into governed automation, reusable runbooks, controlled remediation, and better support economics over time.
Traditional support models are designed to keep the environment running. Kendra is designed to keep it running and improve it at the same time. As the sixth operating layer in the Kendra model, this support desk sits inside the day-to-day support flow so the same subscription that preserves continuity can also identify repetitive work, recurring issues, manual triage, workflow friction, and approval delays — then convert those patterns into governed automation, reusable knowledge, and better operating leverage.
Too often, the team handling support is not the team improving the environment. That leaves clients paying to maintain recurring friction without ever converting that knowledge into automation, workflow improvement, or lower operating cost. Kendra is built differently. In Layer 6, the same team responsible for support continuity is also responsible for identifying where automation-led improvement should happen next, so subscription value compounds instead of being consumed by recurring drag.
Controlled remediation for Dynamics environments spending too much and getting too little from support.
This is an agentic support operations model for Dynamics 365 environments — not a generic chatbot and not unrestricted production automation. It is built to remove humans from routine ticket flow while keeping governance, policy controls, and production boundaries firmly in place.
Human out of routine ticket flow. Human in governance design.
Not just support coverage. A support layer designed to compound subscription value.
Assess Support Automation FitSignals come in from day-to-day support channels, move through a governed support sequence, and return a validated, auditable resolution that strengthens the environment over time. As repeat errors, user mistakes, and avoidable support patterns become visible, the model can surface what should be standardized, automated, or removed from manual support flow next.
Ticket, email, Teams, portal, or alert enters the managed support flow.
Classifies issue type, urgency, environment context, and routing path.
Checks logs, workflow status, jobs, integrations, and known issue patterns.
Retrieves grounded answers, reusable runbooks, prior resolution memory, and repeat-error patterns that point to the next automation opportunities.
Executes approved fixes for allowlisted scenarios through controlled actions.
Confirms the result, checks rollback rules, and verifies the issue is truly resolved.
Updates the ticket, logs the audit record, and closes routine issues cleanly.
Routine support signals in. Governed remediation and auditable closure out.
Kendra does not just deliver services. It delivers outcomes: less operational drag, better support economics, more reusable knowledge, and an environment that becomes easier to support over time.
Shift routine questions, known issue classes, and repeated triage out of expensive manual flow.
Move from consultant-by-consultant troubleshooting to a more structured, consistent diagnostic model.
Use approved runbooks for tightly scoped scenarios where action can be executed and validated safely.
Turn ticket history, repeated fixes, and diagnostic logic into support memory and governed runbooks.
Reduce fragility created when support quality depends on whichever person happens to pick up the issue.
Convert support spend into operating leverage as recurring friction is removed instead of preserved.
Start where ticket volume is repetitive, resolution logic is knowable, and approved remediation can be safely bounded.
Approved actions only. Allowlisted remediation. Rollback rules. Validation before closure. Audit trail for every action. Privileged financial, configuration, and security changes remain under approval or formal change control.
Kendra targets L4 autonomous execution immediately and L5 controlled remediation for tightly scoped use cases. L6 unrestricted production change is not the model.
Kendra’s autonomous support model is Microsoft-native by design: Copilot Studio for orchestration, Power Automate for workflow execution, Azure AI Search for grounded retrieval, D365 APIs for controlled remediation, and Microsoft AI Foundry hosted agents for more advanced secure, stateful, tool-using support workflows.
Many support models rely mainly on labor leverage. Kendra goes further: we combine US-led oversight, offshore-enabled delivery, and governed automation to reduce manual support effort, improve resolution consistency, and create better support economics over time.
The value is not just lower-cost delivery. It is a better support model: governed automation, reusable knowledge, controlled remediation, and offshore-enabled execution working together to improve both service quality and support economics, while the production runtime remains Microsoft-native.
Kendra is designed to improve support economics over time. The ROI is not just lower hourly cost. It comes from recurring friction removed, backlog reduced, manual touches avoided, and support capacity redirected into higher-value work.
The same subscription that protects day-to-day continuity should also reduce future burden. Over time, support visibility becomes reusable knowledge, governed automation, and a clearer operating path.
Keep the environment running with clear ownership, working cadence, and dependable response.
See where repeat errors, recurring tickets, and avoidable manual effort are creating drag.
Convert known patterns into reusable runbooks, governed fixes, and better issue memory.
Reduce repeated triage, improve yield on subscription capacity, and make the environment easier to support.
Repeated triage, consultant-dependent troubleshooting, and recurring tickets consume budget without improving the environment.
The same reserved capacity can support continuity, work through backlog, and advance approved improvement work.
Workflow cleanup, clearer ownership, and automation reduce low-value effort across finance and operations.
As issues are classified, standardized, and automated, the future support burden should fall rather than repeat indefinitely.
We do not position ROI as a theoretical future-state exercise. We track it through friction removed, effort avoided, backlog reduced, and the amount of recurring support work that no longer needs to be repeated.
Most buyers do not start with the full platform. They start with the review that best fits the current environment, the immediate operating pressure, and the next decision that needs to get made.
Stabilize the current environment, reduce friction, and define a staged path toward Business Central or Finance & Operations.
Reconcile data, define shared identifiers, assess integration readiness, and connect custom workflows into the foundation required for reporting and AI.
Identify where workflow efficiency, decision support, and practical use-case sequencing should start before more tools get added.
Improve reporting rhythm, workflow discipline, execution support, and finance-adjacent operating follow-through across recurring cycles.
Get managed support, backlog reduction, workflow improvement, automation opportunities, and reserved capacity that keeps creating value.
Many finance and operations teams are still running important parts of the business on Dynamics AX, Microsoft Great Plains / Dynamics GP, Solomon / Dynamics SL, or Dynamics NAV / Navision. The challenge is rarely just support. It is the widening gap between what the business needs next and what the current platform, team capacity, and roadmap can comfortably absorb.
Kendra helps organizations stabilize those legacy environments while building a sequenced modernization path. That can mean resolving issues, reducing backlog, cleaning up friction around current workflows, and preparing for a phased move to Dynamics 365 Business Central or Finance & Operations when the business is ready.
Ongoing support for GP and SL environments where finance and operations still depend on the current system every day.
Issue resolution, cleaner ownership, and steadier execution so teams can spend less time reacting to recurring friction.
Practical cleanup of long-delayed fixes, enhancements, and workflow pain points that have been sitting in maintenance mode.
Targeted refinements around reporting, approvals, handoffs, and recurring finance and operations processes inside the current environment.
Support for proprietary applications and long-running internal workflows that still serve the business well and should not be forced into a replacement agenda.
A staged path toward Business Central, Finance & Operations, or a cleaner mixed-state model that respects business timing, internal bandwidth, and operating risk.
Practical automation and AI use cases that can improve current workflows while the longer-term modernization plan takes shape.
Many organizations have modernized one part of the estate while leaving another untouched. The result is often a split operating model: Dynamics CE/CRM, a legacy custom CRM, or a SQL-based CRM still carrying years of commercial history, and a newer Dynamics 365 Finance & Operations or Business Central environment expected to support finance and operations without a clean connection between the two.
Kendra helps companies assess, rationalize, and connect those environments. That includes data reconciliation, shared identifiers, integration architecture, governance, and a practical roadmap for what should be stabilized, what should be connected, and what should eventually be modernized.
For business-critical custom applications, the answer is not always conversion. Some systems represent years of operating knowledge and proprietary process design. Kendra helps determine whether those applications should be preserved, modernized, wrapped with integration, or connected into a unified AI-ready landscape alongside Dynamics.
Review the current CRM landscape, technical viability, custom dependencies, and the commercial history the business still relies on.
Assess what Business Central, Finance & Operations, or the wider D365 estate needs in place for cleaner connection, ownership, and downstream process reliability.
Align product, customer, and supplier data where naming, matching, and structure have drifted across systems over time.
Define workable identifiers, ownership rules, and governance so commercial and finance data can move with less ambiguity.
Clarify the right integration model, sequencing, and control points rather than forcing brittle point solutions.
Assess proprietary applications that support critical workflows and define how they can connect to Dynamics, reporting, automation, and AI without unnecessary replacement.
Prepare the data foundation required for reporting, automation, and AI use cases that depend on cleaner cross-system context.
Buyers don't need AI strategy — they need contained, auditable automations connected to throughput, accuracy, and cycle time. Every automation is anchored to a measurable operating metric.
Position AI as a managed capability, not a one-time experiment. Keep human approval in the loop for higher-risk accounting actions. Make governance part of the offer: role design, data grounding, exception handling, logging, and periodic tuning.
Automated invoice capture, coding, and approval routing inside Business Central or F&O — with exception queues and human sign-off for high-value items.
AI-prioritized collections queue, automated dunning sequences, and aging exception alerts — so your team works the right accounts, not just the oldest ones.
ML-assisted sales pipeline and demand forecasts surfaced in Dynamics or Power BI — calibrated to your historical data and business seasonality.
Intelligent case routing and sentiment classification for Field Service and Customer Service — automated assignment, priority scoring, and SLA alert management.
Automated reconciliation checks, journal entry validation, and close-status dashboards — so your team spends time analyzing, not chasing open items.
Real-time alerts for stock-out risk, excess inventory, and slow-moving SKUs — with automated reorder suggestions in Business Central or SCM.
Every automation deployed by Kendra carries a risk classification, defined human-approval thresholds, an audit trail, and a quarterly tuning review. AI should accelerate workflow, extraction, and prioritization — not replace financial control logic. Core accounting rules, approvals, and system-of-record integrity remain anchored in ERP. We maintain an automation register for your records — so you always know what's running, who owns it, and what the exception handling looks like.
"The best whitespace is not managed services alone. It is the integrated offer — Microsoft Dynamics managed services, AI automation, finance operations, and a controller/CFO layer — delivered with a disciplined US/offshore operating model."
Every SOP, automation, and delivery process is purpose-built for the Microsoft stack — BC, F&O, Supply Chain, Power Platform, and Copilot.
Predictable monthly cost, continuous coverage, and a team that learns your environment — not project SOWs with hand-off risk and escalating change orders. Many organizations begin transformation work thinking they have defined most of the problem, then discover midstream that the initial scope was only part of the real operating work. That is where budgets get consumed by firefighting instead of finishing the original goals.
Every automation has a risk classification, human approval where needed, an audit trail, and a periodic tuning cadence. Built to improve execution without weakening control discipline.
Executive and controller relationships remain US-based. Delivery, support, and transaction processing are 65–75% offshore by design — enterprise-grade operations at lower mid-market economics.
Kendra exists because too many organizations are surrounded by systems, service providers, and AI tools, yet still struggle with consistency, accountability, and execution. The gap is rarely just technology. More often, it sits in operating discipline: unclear ownership, weak follow-through, fragmented support, and workflows that look capable on paper but break under real operating pressure.
We built Kendra to help finance and operations leaders close that gap with support that is practical, structured, and execution-minded. Not another layer of noise. Not generic transformation language. A steadier operating model for the systems, workflows, and teams the business already depends on.
Kendra sits at the intersection of managed services, finance-adjacent support, AI readiness, and operating follow-through. That point of view comes from leadership experience shaped by business operations, delivery leadership, global execution, and controls-aware environments where rigor matters.
Co-Founder, Kendra Dynamics
Operator-led growth, delivery, and execution discipline
Prabhat's operating perspective has been shaped by business operations, service delivery, commercial execution, and Microsoft- and Dynamics-related services environments where performance is measured by whether teams can keep moving with clarity. His work sits close to the point where systems, delivery teams, and customer expectations either translate into operating confidence or break down under day-to-day pressure.
That matters to Kendra clients because the value is not simply in having more support available. It is in creating a clearer execution model: clearer ownership, more reliable service rhythm, better commercial follow-through, and more practical decisions about where AI or enablement can help without adding unnecessary complexity. He brings a systems-to-outcomes lens that keeps the work grounded in what the business actually needs to run better.
LinkedIn
Co-Founder, Kendra Dynamics
Financial-services rigor, controls-aware execution, and scalable operating discipline
Meghan brings deep experience across business operations, project services, resource management, and financial-services environments where rigor, controls, and execution discipline matter. Her background includes roles at Societe Generale Corporate and Investment Banking, Deutsche Bank, and Goldman Sachs before leading Business Operations, Project Services & Resource Management at HSO India and Philippines.
That experience helps shape Kendra's approach to finance-adjacent execution, delivery governance, compliance-sensitive environments, and the operating discipline that CFOs, controllers, and finance leaders rely on when consistency and accountability matter. It translates into stronger coordination across teams and functions, cleaner follow-through, and a more dependable execution model around work that can easily become fragmented.
LinkedInWe focus on the workflows, decisions, and handoffs that actually affect operating performance.
We help create clearer ownership, steadier processes, and more consistent delivery across functions.
We identify where AI can improve how work gets done before introducing more tools or complexity.
We work from the places where finance, operations, and systems execution need to hold together.
Organizations on Microsoft Dynamics — legacy Dynamics, modern D365, or mixed estates — that lack deep in-house application support or finance operations depth, without enterprise-grade overhead.
Business Central and F&O with deep finance process support — inventory, fulfillment, procurement, and operational finance depth.
Project accounting, billing discipline, utilization reporting, cash forecasting, and controller insight for services-led businesses.
Recurring operational issues, inventory and fulfillment complexity, and frequent reporting needs — with the finance discipline to match.
M&A rollups, carve-ins, and PE portfolio companies needing consistent Dynamics operations, reporting, and controller oversight across entities.
Most companies have seen the AI tools. Far fewer have translated that attention into meaningful workflow improvement. For CFOs, COOs, controllers, and operations leaders, the challenge is rarely awareness. It is deciding where AI can genuinely reduce manual effort, improve consistency, and help work move faster.
The AI Readiness Assessment is a focused business review, not a generic maturity exercise and not a platform sales pitch. We look at how work gets done today, where teams lose time, where approvals or reporting slow decisions down, and which opportunities are practical enough to prioritize first.
We identify where handoffs, rework, delays, and repetitive tasks create avoidable drag across finance and operations workflows.
We examine where capable teams are spending time on low-value work that could be accelerated, simplified, or supported more consistently.
We assess where leaders are waiting on summaries, status visibility, or recommendations that should be easier to access and act on.
We review whether the underlying processes, inputs, and reporting structure are stable enough for AI to be useful rather than noisy.
We narrow the field to the three to five most practical opportunities first, based on effort, business value, and readiness to execute.
At the end of the assessment, you receive a practical view of where AI can realistically help, what should be prioritized first, and what belongs later once the business is ready.
A typical review ends with a short leadership summary and a ranked first-wave list of practical opportunities rather than a broad transformation deck.
Many finance teams do not need another strategy deck. They need tighter execution, stronger process discipline, clearer reporting rhythm, and better coordination across finance, operations, and IT.
Kendra supports the Office of the CFO through finance operations support, controls-aware workflow improvement, reporting cadence support, and the operational follow-through that helps finance leaders run a more disciplined environment.
Support for recurring finance execution work where consistency, accountability, and cleaner operating rhythm matter.
Stronger reporting rhythm, clearer ownership, and better follow-through across recurring management and finance cycles.
Process improvement with an eye toward approvals, handoffs, consistency, and the discipline finance teams need around execution.
Better coordination between finance, operations, and IT where work often stalls between teams rather than inside a single function.
Improved clarity on who owns what, how work is sequenced, and how delivery stays on track as priorities shift.
Practical prioritization for finance and operations leaders who want less manual friction and better productivity, not abstract experimentation.
Kendra's subscription model is built around reserved delivery capacity, not just ticket response. When support demand is high, that capacity is used to resolve issues and keep the business moving. When support demand is lighter, the same capacity is redirected into approved improvement priorities.
That may include backlog reduction, workflow cleanup, reporting support, process improvements, automation opportunities, and practical AI use cases shaped around how finance and operations teams actually work.
Advance improvements the internal team has not had time to address while keeping operational support coverage intact.
Tighten recurring handoffs, approvals, and process steps that create drag across finance and operations.
Clean up recurring reporting needs, management views, and operational visibility work that often gets deferred.
Apply reserved capacity to agreed operating improvements that strengthen consistency, ownership, and follow-through.
Introduce contained automation where it can reduce manual effort without adding unnecessary platform complexity.
Prioritize focused AI opportunities tied to worker efficiency, workflow quality, and better day-to-day execution.
The objective is not to leave buyers with abstract promises. The work should result in clearer operating decisions, visible next steps, and an engagement rhythm the business can actually use.
A typical assessment ends with a concise leadership summary and a practical first-wave list rather than a broad transformation deck.
The early phase is designed to establish working rhythm quickly, surface real priorities, and begin execution on the most useful work first.
Assess the environment, confirm priorities, and establish cadence, stakeholders, and the working rhythm for the engagement.
Stabilize friction points, surface backlog, clarify ownership, and make visible where support and improvement work need to begin.
Begin execution on agreed priorities and define the next wave of backlog, workflow, reporting, automation, or AI-readiness work.
A structured start designed to create momentum without adding noise.
A finance and operations team dealing with legacy ERP friction, backlog, and inconsistent reporting cadence needed a steadier operating model before broader modernization.
Mid-market finance and operations team working through support drag, reporting inconsistency, and environment complexity.
Too much reactive support, low visibility into priorities, and no clean sequence between stabilization work and next-phase improvement.
Kendra helped establish working cadence, clarify ownership, surface the real backlog, and begin with practical stabilization and reporting priorities.
The team left with a steadier environment, a more visible backlog, and a clearer path toward the next operating decisions.
Simple, modular tiers for buyers who want commercial clarity early. Ranges below are planning ranges, with final pricing confirmed after a short discovery conversation and scope review.
Continuous Dynamics application management with defined SLAs and a named delivery pod across selected legacy, CRM, and D365 environments.
Application management plus outsourced finance transaction execution — the most common starting point.
The complete Kendra platform — managed operations, intelligent automation, finance operations, and Office of the CFO support.
Ranges are directional budget guidance based on comparable engagements and expected operating scope. Final pricing is confirmed after discovery, environment review, and scope alignment.
Most buyers want to understand how the work runs in practice before they commit. These are the questions that usually come up earliest in the conversation.
Practical perspective on running a Microsoft Dynamics environment well — from release waves to close discipline to governing AI in production finance. Articles below are pre-launch previews; full pieces publish Q3 2026.
AP invoice automation is the most predictable, highest-ROI AI use case for Business Central and F&O teams — how to scope it, govern it, and measure it without a failed pilot.
Coming Q3 2026The FY26 Dynamics release wave pushes Copilot, agentic workflows, and extensibility deeper into Business Central and F&O — what it means for teams without a dedicated managed ops partner.
Coming Q3 2026A disciplined close calendar, a small offshore processing team, and a few targeted automations can cut your close cycle by 25–35% — here's the playbook.
Coming Q3 2026Book a 30-minute managed operations assessment. We'll review your current environment, identify the biggest operational gaps, and outline clearer next steps, including where a Kendra engagement may fit.
30 minutes · Executive-focused · Practical next steps
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