DigiEdze AI · MCP & Enterprise AI Integration
Connect AI to the Running Business Systems
SAP, Oracle, Salesforce, ServiceNow, Workday, databases, APIs and cloud platforms — exposed to AI as governed, typed, permissioned tools through the Model Context Protocol.
- MCP servers
- MCP clients
- tool registry
- access controls
- API integration
- A2A interoperability
Reference architecture
- 06Agents & applications
- 05MCP client layer
- 04Tool registry & policy engine
- 03MCP servers — SAP · Oracle · Salesforce · ServiceNow · DB · Cloud
- 02Workload identity & secrets
- 01Audit log
The Challenge
Cost of Its Fallback
Every AI project rebuilds its own SAP or ServiceNow connector, with its own credentials and its own bugs.
Integrations wired directly into prompts cannot be permissioned, rate-limited or audited.
Nobody can answer which agents can reach which systems, with what rights.
What We Build
MCP and Enterprise AI Capability Grid
MCP servers for enterprise systems
Reusable, versioned servers exposing ERP, CRM, ITSM, database and cloud capabilities as typed tools with explicit schemas.
Tool registry
A single catalogue of every capability available to AI, with owner, risk class, permission scope and change history.
Access control and identity
Workload identity per agent, least-privilege scopes, short-lived credentials and per-tool authorisation.
Safety envelopes
Rate limits, blast-radius caps, dry-run modes and mandatory approval on irreversible operations.
Legacy and API integration
Adapters for systems that predate modern APIs, including file, message-queue and screen-level integration where necessary.
Full call auditing
Every tool invocation logged with caller, arguments, result and policy decision, ready for audit.
How it works
Our Technology Stack
Developing the architecture that lets agents act safely inside enterprise environments. Here agents integrate with what you already run instead of asking you to rebuild around them.
- Model Context Protocol
- A2A
- OAuth and workload identity
- Secrets management
- API gateways
- Enterprise connectors
Use Cases
Proven Approaches Across Verticals
BFSI
Core banking and servicing operations exposed as tools with per-action approval thresholds.
Manufacturing
SAP transactions available to agents under strict change-window and approval policy.
Technology
Cloud and ITSM control planes exposed with least-privilege scopes per agent fleet.
Outcomes
What We Measure
These four metrics track how much of the tool landscape is under governance, how efficiently integrations are shared rather than rebuilt, and how consistently policy and audit controls apply once systems are connected.
- Systems reachable as governed tools
- Integration reuse across use cases
- Policy coverage of tool calls
- Audit completeness
Questions
MCP & Enterprise AI Integration, Answered Directly
Why use MCP instead of direct API calls?
Because a protocol gives you one place to enforce identity, permission, rate limits and auditing across every AI consumer. Direct calls embedded in application code re-implement all of that inconsistently, and usually incompletely.
Can MCP servers reach systems without modern APIs?
Yes. The server is an adapter — it can front a modern REST API, a database, a message queue, a file drop or a legacy interface, and still present a clean typed tool to the agent.
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Connect Your Enterprise AI
Thirty minutes with an architect who has built this. Bring the constraint that has stopped you — data, security, cost, sovereignty, agents or legacy systems.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT