AI Integration & MCP Server Development
Your Systems. Finally Talking to AI.
Your CRM knows your customers. Your ERP knows your operations. Your data warehouse knows your numbers. But none of them talk to your AI — until now. We build the connections that turn isolated systems into an intelligent, coordinated enterprise.
Trusted by Enterprise Leaders
New Capability: MCP Server Development
One Protocol. Every Tool in Your Stack.
Traditional AI integration means building one connector at a time. MCP (Model Context Protocol) changes the game entirely. We build custom MCP servers that give your AI a single, secure gateway to every tool, database, and workflow in your business — simultaneously, in real time, with full audit trails.
Real-time context, not stale snapshots
Your AI reads live CRM data, pulls current inventory, and checks compliance status — all in a single reasoning step.
Enterprise-grade security baked in
Every MCP server we build includes permission scoping, credential management, and immutable audit logs.
Model-agnostic, future-proof
Switch from GPT-4 to Claude to Gemini — your MCP layer stays the same. No rework, no vendor lock-in.
Connect what already exists
Salesforce, SAP, Snowflake, SharePoint, Jira, internal APIs — MCP makes them all available to your AI agents without rewriting your stack.
MCP Integration Architecture
Your AI / Agent Layer
Claude · GPT-4 · Custom LLM
↕ MCP Protocol — Secure, Audited, Real-Time
Custom MCP Server Layer
Built by RTS Labs
↓
Permission-scoped · Audit-logged · Model-agnostic
Integration Capabilities
Every System. Connected.
We build direct integrations and MCP server layers across every major enterprise system — so your AI works with real data, in real workflows, the moment a decision needs to be made.
CRM Integration
AI that knows your customers before you open your mouth. Automated call summaries, real-time deal scoring, follow-up drafts, and churn signals — inside the CRM your team already uses.
Salesforce · HubSpot · Dynamics 365
→ Reps close more. Managers see earlier.
ERP Integration
Connect AI to procurement, supply chain, finance, and compliance workflows without touching your core ERP. AI reads, reasons, and routes — your ERP stays the system of record.
SAP · Oracle · NetSuite
→ Faster approvals, fewer manual escalations.
Data Warehouse Integration
Let your analysts ask questions in plain English and get answers in seconds. We connect AI to your warehouse so insights flow through conversation, not just dashboards.
Snowflake · Databricks · BigQuery
→ Analysts move 4x faster. Execs self-serve.
Document & Knowledge Systems
Contracts, reports, compliance docs, PDFs, emails — AI extracts, classifies, summarizes, and routes structured intelligence from unstructured content at scale.
SharePoint · DocuSign · Custom DMS
→ Hours of review become minutes of decisions.
MCP Server Development
We build custom MCP servers that give your AI agents secure, real-time access to every tool in your stack — simultaneously. One protocol, every connection, full audit control.
Model Context Protocol · Multi-Tool AI
→ AI that acts across your entire stack at once.
Cloud & Legacy Integration
AI deployed within your existing cloud environment with VPC isolation, credential management, and the ability to connect to systems that predate the cloud by decades.
AWS · Azure · GCP · On-Prem
→ Secure by design. No rip-and-replace required.
Client Results
What Happens When AI Gets Connected.
These are real outcomes from real engagements — clients deidentified at their request. The numbers are theirs. The work was ours.
Regional Bank · Southeastern US
The Loan Officer Who Stopped Doing Homework
A regional bank with $4B in assets was losing 3–4 hours per loan officer per day to manual data gathering — pulling credit history from one system, property comps from another, and regulatory flags from a third, then writing a memo that summarized all of it. Senior underwriters were reviewing 8–10 loans per day when the backlog demanded 20.
We built an MCP server connecting their core banking platform, third-party data providers, and compliance systems to an AI agent. The agent now assembles a complete underwriting brief — with supporting data, risk flags, and a first-pass recommendation — in under 4 minutes.
Results after 90 days live
3.1x
Loans reviewed per day per officer
74%
Reduction in manual data assembly
$2.4M
Estimated annual capacity recovered
MCP Server · Core Banking · AI Agent
Logistics Company · Mid-Market
The Dispatcher Who Got a Co-Pilot
A freight brokerage with 340 active carriers was running dispatch on spreadsheets, phone calls, and a TMS that couldn’t talk to anything outside itself. Dispatchers spent 40% of their day on exception handling — late shipments, carrier no-shows, route reroutes — pulling data from four systems to make decisions that needed to happen in minutes.
We integrated their TMS, carrier API network, weather data feed, and customer notification system through a unified AI layer. Dispatchers now see a single exception queue with AI-generated recommendations.
Results after 60 days live
40%
Drop in exception handling time
22%
Improvement in on-time delivery rate
6 min
Avg exception resolution (was 34 min)
TMS · Carrier API · AI Exception Routing
Insurance Carrier · National
Claims That Used to Take Days Now Take Hours
A national P&C carrier was processing 1,200 claims per week through a team of 28 adjusters. First-notice-of-loss intake was manual — adjusters read the claim, pulled the policy from one system, checked coverage from another, and typed a triage summary before assigning it. Average time from FNOL to first adjuster touch: 2.8 days.
We integrated their claims management system, policy database, and external damage assessment APIs with an AI triage layer. The AI reads every new claim, extracts coverage details, flags fraud indicators, assigns a complexity score, and routes it to the right adjuster with a pre-written triage summary.
Results after 45 days live
2.8d → 4h
FNOL to first adjuster contact
31%
Increase in claims capacity
18%
Improvement in fraud flag accuracy
Claims Management · Policy DB · AI Triage
Commercial Real Estate · Portfolio Manager
A Portfolio Manager's Monday Morning Changed
A commercial real estate portfolio firm with 180 properties was spending 14 hours per week per analyst building Monday-morning portfolio briefings — pulling occupancy from one system, lease renewals from another, market comps from a third, and writing it up in a slide deck for the investment committee.
We built an MCP server connecting their property management system, lease database, and external market data sources. Every Monday at 6am, the AI assembles a complete portfolio briefing — with key metrics, lease alerts, and market shifts — and emails it to the committee before the analysts have arrived.
Results after 30 days live
14 hrs
Analyst hours saved per week
100%
Of briefings delivered before 8am
180
Properties tracked automatically
Property Mgmt · Lease DB · MCP Server
How We Work
From First Conversation to Full Capability
Every engagement starts with clarity — on scope, timeline, success criteria, and what “done” looks like. No open-ended retainers. No perpetual roadmaps.
Integration Discovery
We map your systems, APIs, data flows, and integration constraints. Deliverable: a technical spec and go/no-go recommendation.
Weeks 1–2
Build & Connect
We build connectors, middleware, and MCP servers — with permission boundaries, credential management, and audit trails from day one.
Weeks 3–8
Stress Test
Red-team edge cases, validate outputs, confirm security holds. We break it deliberately before your users find it accidentally.
Weeks 9–11
Hand Off & Scale
Your team takes ownership. We stay until they’re confident, then document everything for what comes next.
Week 12+
Why RTS Labs
We Don't Consult. We Connect.
— Delivery
We Build, We Don't Brief
Every engagement ends with a working system your team uses — not a presentation about one. We write the code, build the connectors, and stay until it runs.
— MCP
MCP-Native From Day One
We’re among the first enterprise engineering firms building production MCP server infrastructure. Your AI integration won’t be outdated in 18 months.
— Security
Guardrails Aren't an Add-On
Permission scoping, data masking, VPC deployment, audit logs, and rollback capabilities are built into every integration from sprint one — not bolted on at the end.
— Scope
Fixed Price, No Surprises
Every engagement is scoped and priced before a line of code is written. You know what you’re getting, when you’re getting it, and what it costs.
Industries We Serve
Built for the Complexity of Your Industry
Every sector has different systems, compliance requirements, and data sensitivities. We build integrations that understand yours — not generic connectors that need to be customized for 12 months.
Financial Services & Banking
- →MCP server connecting core banking, credit systems, and compliance platforms — AI underwrites in minutes, not days
- →Intelligent document processing for KYC, AML, and audit workflows across siloed regulatory systems
- →AI integrated into risk scoring models, feeding directly into existing portfolio management dashboards
- →Natural language interfaces to data warehouses — analysts query in plain English, no SQL required
- →Automated regulatory reporting that pulls live data and assembles compliant outputs on schedule
244K
Monthly impressions for banking AI searches — our highest-intent vertical, with some of our most complex integration work
Logistics & Supply Chain
- →AI agents integrated into TMS and WMS systems — real-time exception handling, route optimization, carrier scoring
- →MCP server connecting carrier APIs, weather feeds, and customer portals for fully coordinated dispatch intelligence
- →Predictive demand and inventory models surfaced inside existing ERP and supply chain platforms
- →Document automation for BOL, customs declarations, and carrier compliance across disparate systems
- →NLP interfaces for freight visibility dashboards that ops teams actually use
319
Monthly clicks to our Logistics AI content — and a growing base of clients who’ve moved from manual dispatch to AI-assisted operations
Insurance
- →Claims triage AI integrated with policy management and damage assessment systems — FNOL to assignment in hours, not days
- →Fraud detection models embedded directly in claims and billing workflows, not running in isolation
- →Underwriting intelligence connected to actuarial systems, external data sources, and policy management platforms
- →Document extraction for complex insurance forms, medical records, and legal correspondence at scale
- →Compliance monitoring with automated audit trail generation for state and federal regulatory requirements
31%
Capacity increase per adjuster at a national carrier after we integrated AI into their claims triage workflow
Real Estate
- →MCP server connecting property management, lease databases, and market data — automated portfolio briefings every morning
- →AI lease abstraction connected to financial models — key clauses extracted and structured without manual review
- →Investment memo automation pulling from deal data, market comps, and underwriting models simultaneously
- →Resident-facing AI integrated with maintenance and property management systems for 24/7 self-service
- →Predictive analytics surfaced inside existing BI and reporting dashboards — no new tools for ops teams to learn
14 hrs
Analyst hours saved per week at a CRE portfolio firm after MCP-powered briefing automation went live
Common Questions
What You Need to Know Before You Call Us
What is an MCP server and why does it matter for AI integration?
Model Context Protocol (MCP) is an open standard — backed by Anthropic and adopted by major AI providers — that gives AI models secure, structured access to external tools and data sources in real time. Instead of building one custom connector per system, an MCP server creates a universal integration layer. Your AI agent can query your CRM, pull live inventory from your ERP, and check compliance flags from your regulatory system — in a single reasoning step, with full audit trails. We build custom MCP servers for enterprise stacks that weren’t designed with AI in mind.
How is AI integration different from AI consulting?
Consulting produces a strategy. Integration produces a working system your team uses on Monday morning. We do both — a discovery sprint defines the technical scope and business case, then our engineers build the actual connectors, middleware, and MCP servers. You’re not buying a presentation about what’s possible. You’re buying the thing that makes it real.
How long does enterprise AI integration take?
A focused integration with clear scope typically runs 4–12 weeks. We always start with a 1–2 week discovery sprint that locks in the full scope, timeline, and success criteria before development begins. Multi-system integrations involving legacy infrastructure may run longer — but the scope is always agreed upfront, in writing, before we start.
What systems can you integrate AI with?
CRM platforms (Salesforce, HubSpot, Dynamics), ERP systems (SAP, Oracle, NetSuite), data warehouses (Snowflake, Databricks, BigQuery), document management systems, REST and GraphQL APIs, internal tools, legacy databases, mainframes, and cloud infrastructure across AWS, Azure, and GCP. If your business runs on it, we’ve almost certainly integrated AI with it — or something like it.
How is this different from RPA or Power Automate?
RPA follows rigid rules — it breaks when conditions change, data formats vary, or edge cases appear. AI integration handles variation, unstructured data, and context-dependent decisions. Think of RPA as “if-this-then-that” at scale and AI integration as “understand-this-then-decide” at scale.
How do you handle data privacy and security?
Every integration we build includes: enterprise API endpoints that don’t train on your data, PII and PHI masking before data reaches any model, VPC deployment options for maximum data sovereignty, permission scoping at the MCP server layer, and immutable audit logs for every AI action. Security review is part of our standard delivery — not a premium add-on.
Related Services
Keep Going
Start Here
AI Consulting
Need to validate the opportunity before you build? Our discovery sprint produces a technical brief and business case — not a slide deck.
Go Autonomous
AI Agent Development
Integrated AI that reads and reports is useful. Agents that take actions are transformative. We build both.
LLM-First
Generative AI Consulting
If your integration involves LLMs specifically — RAG, copilots, knowledge search, document automation — this is where to start.
Foundation First
Data Engineering
AI is only as good as the data it touches. If your data is siloed, inconsistent, or untrustworthy, we fix that first.
Top Vertical
AI for Financial Services
Banking, capital markets, wealth management — see how we’ve integrated AI across some of the most regulated workflows in enterprise.
Top Vertical
AI for Logistics
From TMS integration to MCP-powered dispatch intelligence — AI built for the real complexity of supply chain operations.
Let's Talk
Your Systems Are Ready. Are You?
Tell us what your AI can’t access today. We’ll tell you how long it takes to change that — and what it would mean for your business if we did.