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Enterprise AI Implementation Partner

AI that works
in production

Most enterprise AI projects fail at integration. We specialize in delivery — connecting LLMs to your SAP, Salesforce and ServiceNow environments so teams actually use them.

5-day discovery sprint. 2–4 week pilot. Production-ready from day one.

Or click the chat bubble ↘ to talk to our AI assistant right now

5 days
Discovery Sprint
2–4 wks
Pilot to Production
100%
Real System Integration
SOC2
Enterprise Ready

The integration problem

Enterprise AI projects stall because generic consultants build demos that can't connect to real systems. Your ERP, CRM and HRIS are locked behind custom APIs, legacy auth and security layers that require deep enterprise expertise to navigate.

The Tioga difference

We build MCP-native AI systems that speak your enterprise stack's language from day one. Your pilot runs on your real data, in your real environment — so the path to production is already built by the time we present results.

Live on our production API

Try It Right Now

Three real AI workflows. No signup. No mockups. The same Claude models we deploy for enterprise clients.

We integrate with your existing enterprise stack

SAP
Salesforce
ServiceNow
Oracle
Workday
SharePoint
Slack
Microsoft 365

What We Build

Production AI systems — not prototypes — that integrate with your existing stack and deliver measurable ROI within the pilot.

🤖

Custom AI Agents

Bespoke agents that automate complex multi-step workflows, handle exceptions intelligently and integrate with your enterprise systems. Built for reliability, not demos.

Workflow automationException handlingERP integration
🔗

MCP Integrations

Connect Claude and other frontier LLMs to your SAP, Salesforce, or ServiceNow environments via Model Context Protocol — the new standard for AI-to-system connections.

Natural language to actionSecure data accessAny LLM compatible
📊

AI Strategy Consulting

Discovery workshops, POC development, ROI analysis and AI roadmapping — so your organization invests in the right problems and avoids costly misdirection.

ROI-first prioritizationProof of conceptsImplementation roadmap
🎓

AI Training & Enablement

Upskill your team on prompt engineering, AI governance and responsible deployment. Make sure your organization can sustain and evolve its AI investments independently.

Prompt engineeringAI governanceTeam certification

Why enterprises choose Tioga AI

We're not a generic AI consultancy. We specialize in one thing: getting AI into production inside complex enterprise environments.

Speed to value

Our 5-day discovery sprint gives you a working prototype and a delivery plan before most firms finish scoping.

🔐

Enterprise-grade security

SOC2-ready architecture, role-based access, audit logging and your data never leaves your environment.

🎯

Integration-first approach

We build for your stack from day one. No rip-and-replace. Your existing systems become more powerful.

🧪

No toy demos

Every pilot runs against your real data and real systems. When it works in the pilot, it works in production.

📐

MCP-native builds

We specialize in Model Context Protocol — the emerging standard for connecting AI to enterprise systems at scale.

📈

Measurable ROI

We define success metrics before we start. You see ROI calculations in the pilot, not after a 6-month engagement.

Our Process

From first conversation to production deployment — with no ambiguity about what happens next.

01

Discovery Sprint

5 days

We map your systems, identify the highest-ROI AI opportunities and define a clear scope with your team. You get a working prototype and a detailed delivery plan — before any large commitment.

System audit · Use-case prioritization · Prototype · Delivery plan

02

Pilot Build

2–4 weeks

We build a production-ready proof of concept integrated with your real systems. No toy demos — this runs against live data and real integrations. You see exactly what the full system will do.

Full integration · Real data · Stakeholder review · Go/no-go decision

03

Deploy & Scale

Ongoing

Full production deployment with monitoring, SLAs, ongoing support retainers and continuous improvement as your AI needs grow. We stay partners, not vendors.

Production deploy · Monitoring · Support SLA · Continuous improvement

New Standard

Model Context Protocol (MCP)

MCP is how frontier AI connects to enterprise systems. We're one of the first implementation partners building production MCP integrations for SAP and Salesforce. See the architecture, explore live demos and understand why your next AI project should be MCP-native.

Explore MCP →

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