17+ Years of
Banks are being asked to deliver more personalized service, tighter compliance, and faster decisions, all on infrastructure that was never designed to work together. This guide lays out a practical path to modernize the bank tech stack by anchoring on a unified CRM, connecting the data that sits behind it, and layering AI where it produces measurable lift.
What This Guide Covers
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Download PDFMost banks are running a patchwork: a core system for transactions, a separate loan origination platform, a CRM that a handful of teams use, marketing automation bolted on, and spreadsheets filling the gaps. Each layer was purchased to solve a specific problem, and each one works fine on its own. The trouble starts when leadership asks questions that cross the layers: which relationships are at risk, which commercial customers are ready for a treasury conversation, which loan applications are stalling and why, which AI investments are actually producing returns.
Those questions are harder than they should be because the data, the workflows, and the people live in different systems. Relationship managers spend hours every week recreating context that the bank already has. Compliance teams chase down audit trails across platforms that don't share a common identity. Executive reporting lags real operations by days or weeks. And every new AI pilot runs into the same wall: the data isn't unified, so the outputs can't be trusted.
The modern bank tech stack solves this by anchoring on a single CRM that speaks to the rest of the bank, connecting the data that sits behind it, and layering AI where it produces specific, measurable lift. Microsoft Dynamics 365 is the natural anchor because it's already integrated with the productivity tools your bankers use every day, and it connects cleanly to the Microsoft data and AI platform that most institutions already pay for.
Modernization is not a rip and replace. It's a deliberate sequence of layers, each one making the next one possible. Here is how the stack comes together on the Microsoft platform, and what each layer is responsible for.
Dynamics 365 serves as the single system of engagement across retail, commercial, wealth, and treasury. Dynamics 365 Sales anchors relationship management and pipeline, while Customer Service handles cases and service interactions. Every banker sees the same household, relationship, and pipeline view instead of scattered inboxes and spreadsheets.
Core banking, loan origination, deposits, and marketing platforms feed a unified customer profile through Customer Insights and Microsoft Fabric, wired in through systems integration services. This is the layer that turns "we have the data somewhere" into "a banker can see it when they need it."
Power Platform and Power Automate handle the work that happens between systems: loan exceptions, service requests, onboarding checklists, KYC renewals. Automation eliminates the email threads and side spreadsheets that slow banks down.
Once the first three layers are in place, AI earns its keep. Copilot Studio agents, Copilot in Dynamics 365, and AI Builder extend the stack to read documents, generate briefings, and answer banker questions against real, governed data. See the full scope of TrellisPoint's Microsoft AI practice for what's in scope.
The fastest wins come from the places where bankers already spend the most time and the least value is being created. These are the patterns we see produce the clearest ROI for banks and credit unions modernizing on Dynamics 365.
Relationship managers get a unified 360 view of the client, including deposits, loans, treasury products, and service history. Copilot for Sales drafts pre-call briefings, surfaces cross-sell opportunities, and logs meeting notes automatically. The RM spends time on relationships, not on data entry.
Branch and contact center staff see the full household picture. Service cases, product inquiries, and onboarding steps all route through Dynamics 365 Customer Service, with Copilot for Service suggesting next-best actions and drafting responses grounded in approved knowledge content.
AI Builder extracts data from tax returns, financial statements, and supporting documents. Power Automate routes exceptions and approvals. The CRM holds the pipeline view so lending, credit, and relationship teams are working from the same record instead of separate queues.
KYC refreshes, audit requests, and complaint tracking run on structured workflows with full lineage. AI assists with summarization and first-pass review, but every consequential decision stays with a human, documented in the system of record.
Customer Insights unifies data from core, CRM, and marketing platforms into household-level segments. Campaigns are targeted against real product gaps and life events, not generic segments, and the results feed back into the banker view.
Leaders ask plain-language questions of Power BI against live data. Deposit trends, pipeline health, exception backlogs, and adoption metrics show up in minutes instead of waiting on the next reporting cycle.
Modernizing a bank's tech stack is a real investment, and finance leadership is right to ask what it produces. Independent research from Forrester, commissioned by Microsoft, puts hard numbers on the return, and banking case studies translate those numbers into operational terms. The figures below come from three-year Total Economic Impact studies and a named banking deployment.
Forrester's TEI study found 116% ROI over three years and $19.7M NPV for a composite 25,000-employee enterprise, with employees saving an average of 9 hours per month on drafting, summarizing, and research tasks.
Forrester's TEI reports 122% ROI over three years for a composite organization deploying Dynamics 365 Finance, driven by finance team productivity, IT productivity, and legacy system cost savings.
Forrester's 2026 TEI projects more than 200% ROI over three years with a payback of roughly six months for mid-sized organizations, making it a reasonable anchor for community banks and credit unions.
The common thread across these studies is unified data and integrated workflows. Banks that anchor on Dynamics 365 and connect their core, loan, and marketing data realize most of the quantified gains through banker productivity, service cost reduction, and faster cycle times. TrellisPoint's AI Value Engine translates these patterns into the specific numbers that apply to your institution.
Every regulator watching the industry (OCC, Federal Reserve, CFPB, FDIC, NCUA, and a growing list of state bodies) has made it clear that existing fair lending, model risk, and consumer protection rules apply to AI systems. The Colorado AI Act takes effect June 30, 2026, targeting high-risk systems that influence credit and lending decisions. Explainability, bias testing, and documented model oversight are no longer nice-to-have.
The banks that make the most progress don't try to modernize every layer at once, and they don't buy every shiny thing on the market. They sequence the work so each phase funds and de-risks the next one. Here is the pattern we see succeed.
Stand up Dynamics 365 as the single system of engagement for the teams that touch customers. Migrate off the legacy CRM, retire the shadow spreadsheets, and get every banker on the same relationship view.
Feed core banking, loan origination, and marketing data into a unified customer profile. This is where the bank starts answering cross-system questions without a data request ticket.
Use Power Platform to automate the handoffs that are currently running on email and spreadsheets: loan exceptions, KYC refreshes, onboarding, service escalations. See our Power Platform implementation service.
With the first three layers in place, AI has the data and the governance it needs. Start with one high-volume, high-friction process, measure the lift, document the controls, and expand from a working foundation.
Most CRM partners know the platform. Most AI partners know the models. Very few understand what it takes to run a regulated, relationship-driven business like a bank on either one. TrellisPoint works at that intersection, with the Microsoft Solutions Partner designation, deep Dynamics 365 experience, and a methodology built to make technology investments defensible to finance, risk, and operations leadership.
Figures and framing in this guide draw from the following public research and reporting.
Schedule a conversation with our team to map your current stack, identify the fastest modernization wins, and put a governance foundation in place before you scale AI. No pitch. No generic demo. A real conversation about where your bank stands and what it takes to move forward.
