AI Applications & Knowledge

AI Integration

An assistant that cannot see the order, the account or the case is a search engine with better manners. We build the integrations that let AI read from and write to the systems your business actually runs on.

Discuss Your AI Initiative Services

The business problem

The interesting part is not the model

Teams underestimate integration because the model demo did not need it. Then reality arrives: the ERP has no usable API for that object, the CRM rate-limits, identity does not propagate, and the record of truth disagrees with itself across two systems. None of this is AI work, and all of it determines whether the AI work is usable.

What we do

Typed interfaces over your systems

We build a validated interface layer between the model and your systems rather than letting a model call an API directly. Every call is typed, validated and authorised on behalf of the acting user, with rate limits and retries handled where they belong. Where no usable API exists we build one rather than driving a user interface, because interface automation is brittle and cannot be audited.

AI Integration

Capabilities

LLM Integration
Enterprise Application Integration
CRM Integration
ERP Integration
API Integration
Data Integration

Common use cases

Give an assistant read access to the CRM under each user's own entitlements.
Let an agent create and update records in an ERP with validation before anything is written.
Connect AI to a legacy system whose only interface is a database or a file drop.
Consolidate several point integrations onto one governed interface layer.

How we deliver

Shape

Turn the request into a specification: who uses it, what a correct answer is, who decides.
Ground

Connect to the content and systems that hold the answers, respecting existing permissions.
Evaluate

Score against a labelled set built from your own cases, before anyone outside sees it.
Ship & operate

Staged release with monitoring, cost control and a regression suite that guards quality.

Technology

OpenAI
Anthropic
Azure OpenAI
pgvector
Elasticsearch
Microsoft 365
SharePoint
Confluence
Salesforce

Security & governance

Answers are grounded in your own content and carry citations, so a reader can check them. Retrieval respects the permissions already set on the source, which means a user never sees through the application what they could not see directly. Prompts, retrieved context and responses are logged for audit, and evaluation runs continuously rather than once at launch.

Engagement models

AI Project

We take responsibility for designing and delivering a defined AI solution.

Dedicated AI Team

Long-term dedicated engineering capacity built around your stack and delivery model.

Managed AI

We operate, monitor and continuously improve production AI systems.

Why TeamExtension.ai

We have integrated these systems before AI existed

SAP, Salesforce, ServiceNow and the awkward internal system nobody wants to touch are familiar territory. The AI part is new; the integration part is not, and that is where these projects actually get stuck.

Selected clients

Frequently asked questions

What if a system has no API?

We build an integration layer against the database or the file interface. We avoid driving the user interface, because it breaks on every upgrade and produces an audit trail nobody can rely on.

How is authorisation handled?

Calls are authorised on behalf of the acting user through your identity provider, so the AI cannot reach anything that person could not. Service accounts with broad scope are the most common cause of exposure and we avoid them.

Does this create a dependency on you?

No. The integration layer is your code, in your repositories, documented, with tests. We build so that your team can extend it without us.

What about rate limits and outages?

Handled in the integration layer with retries, backoff, caching and explicit degradation, so an upstream outage produces a clear failure rather than a confidently wrong answer.

Related capabilities

Agentic AI & Automation

AI Agents

Software that completes multi-step work inside your systems, under your access controls and your approval rules.

Learn more

AI Applications & Knowledge

Custom AI Development

Production AI applications built for your business, not configured from a template.

Learn more

AI Data & Models

AI Data Engineering

The pipelines, quality controls and vector stores that AI systems depend on to be correct.

Learn more

Discuss Your AI Initiative

Connect AI to the ERP, CRM and data systems where the work and the records actually live.

Talk to an AI Expert Start an AI Assessment