AI · Governed connections between Claude and your stack

Connectors that let Claude work with your systems, under your rules.

Custom Claude connectors — governed, auditable links between Claude and your CRM, ERP, helpdesk and internal databases.

Delivered from our Chennai and Bengaluru studios — to clients across India and overseas.

// The problem

Your security team said no, and they were right to.

The business case for connecting an AI assistant to real systems is obvious the moment someone tries it. So is the objection: what exactly can it access, who can see what, what is logged, and what happens if it is manipulated through a document it reads.

Those are good questions. The usual answers — an API key in a config file, or a copy of the data somewhere else — do not survive them, which is why so many promising internal AI projects stall at review.

Does any of this sound familiar?

Security review blocked the project No defensible answer to what the assistant could access.
Broad credentials as the only option An API key granting far more than any assistant should hold.
No record of AI access An audit question with no answer.
Every tool needing its own integration Repeated work with inconsistent security each time.

What it costs to leave this alone

Either the assistant stays generic and largely unused, or somebody eventually connects it insecurely because the value was obvious and the governance was not. The second outcome is considerably more expensive than doing it properly.

// How we fix it

Our approach to Claude Connector Development

We build connectors that answer the security questions before they are asked. Narrow validated operations rather than broad access. Permission mapping so the assistant sees exactly what the requesting person could see. Complete audit logging. Approval gates on anything irreversible.

Critically, we design assuming the model will eventually be manipulated — so that even a fully compromised assistant cannot exfiltrate, delete or spend. That containment, rather than filtering, is what makes the position defensible.

Talk to us about your project

// What changes

The return, in plain terms

What you should expect to be different once this is in place.

Scoped

Least privilege

A key to one room, never the master key — and a record of every time it opened the door.

Logged

Every call

Who requested what, what returned, when — reviewable by your security team.

Reusable

Whole organisation

One governed connector serving every assistant, rather than per-tool integrations.

// What's included

Everything in Claude Connector Development

Connector design and build

Narrow operations against your systems, described precisely so the assistant selects correctly.

Per-user permission mapping

The assistant sees exactly what the requesting person could see — never a shared privileged credential.

Enterprise system integration

CRM, ERP, helpdesk, databases and internal APIs, including older systems needing an adapter layer.

Prompt injection resistance

Designed so that even a manipulated assistant cannot exfiltrate, delete or spend.

Complete audit logging

Who requested what, what was returned, and when — reviewable by your security team.

Team-wide deployment

One governed connector serving your whole organisation rather than per-person integrations.

// Who this is for

Is this you?

Teams whose AI project stalled at security review

Needing a defensible access architecture.

Organisations with data locked in silos

ERPs, CRMs and databases that are tedious to query.

Businesses with audit obligations

Where access must be scoped, logged and revocable.

// Problems we've solved

From challenge to result

Representative engagements, described in terms of what changed for the business.

The challenge

A support team wanted their assistant to answer order-status questions, but IT could not justify database access.

What we did

Built a connector exposing a single validated lookup, permission-mapped per user, with full call logging and instant revocation.

The result

The assistant answered from live data while the underlying systems stayed governed — and the review passed.

The challenge

Separate integrations were being written for each new AI tool the business adopted.

What we did

Consolidated access behind one authenticated connector with central logging and a single permission model.

The result

New assistants connected to the existing governed interface rather than requiring fresh integration work.

// Technology

The stack we reach for

Chosen for durability and fit — and handed over as documented code you own outright.

MCP Claude API TypeScript Python OAuth 2.0 Docker PostgreSQL REST APIs

// Questions

Claude Connector Development — FAQs

An API key grants everything that key can do, with no per-user scoping and no record of what was accessed. A connector exposes specific validated operations, applies the requesting user's permissions, logs every call, and can be revoked instantly.
Anything with an API or database — CRMs, ERPs, helpdesks, e-commerce platforms, internal databases. Legacy systems without clean APIs need an adapter layer built first, which is usually the larger part of that project.
Yes, with confirmation on anything consequential. Reading is automatic; creating tickets, sending messages or updating records pauses for human approval, calibrated to your risk tolerance.
What it can access, what happens if compromised, how it is logged, whether it can act unattended, and how to turn it off. We build so those answers exist before the review rather than during it.

// Read before you commit

Guides that answer the next question

Honest, detailed writing on costs, trade-offs and how to choose — including when not to hire us.

// Explore more

Other things we engineer

Most clients start with one service and grow into others. One team owns the whole stack.

// Start a project

Have an idea?
Let's engineer it into reality.

Free consultation. Honest scoping. A fixed quote within 48 hours.