AI integration & modernization

AI inside the systems you already run.

We connect AI to your ERP, CRM, legacy apps and databases through APIs and middleware, without ripping anything out. Phased, low-risk and built to run in your environment.

  • Salesforce

  • HubSpot

  • SAP

  • Microsoft

  • Zendesk

  • OpenAI

  • Anthropic

  • AWS

  • Microsoft Azure

  • Salesforce

  • HubSpot

  • SAP

  • Microsoft

  • Zendesk

  • OpenAI

  • Anthropic

  • AWS

  • Microsoft Azure

Is this for you?

An honest check before we build.

A good fit if…

Your core systems work, but they don’t talk to AI.

Key data is locked in legacy apps or databases.

People switch between tools to find answers.

You need change without downtime.

Probably not for you if…

You plan to replace your whole stack anyway.

Nobody owns the systems involved.

There’s no access to the data or the vendor.

You need everything changed at once.

The service

Modernise around your systems, not instead of them.

Modernise around your systems, not instead of them.

Most companies don’t need new systems to use AI. They need AI connected to the ones they already have. We add an AI layer through APIs and middleware, put copilots inside the tools people already use, and let teams query legacy data in plain language. Where an old component blocks progress, we modernise just that part. Everything is phased: one integration at a time, tested and reversible.

Most companies don’t need new systems to use AI. They need AI connected to the ones they already have. We add an AI layer through APIs and middleware, put copilots inside the tools people already use, and let teams query legacy data in plain language. Where an old component blocks progress, we modernise just that part. Everything is phased: one integration at a time, tested and reversible.

APIs

Copilots

Legacy data

people sitting and using laptops

What we build

Four ways to bring AI into your stack.

Four ways to bring AI into your stack.

We work with Salesforce, HubSpot, SAP, Microsoft Dynamics 365, ServiceNow, Zendesk, SharePoint and custom or legacy databases.

We work with Salesforce, HubSpot, SAP, Microsoft Dynamics 365, ServiceNow, Zendesk, SharePoint and custom or legacy databases.

01

APIs

APIs and middleware

A secure layer that connects models to your ERP, CRM and internal systems.

02

Copilots

Copilots in existing tools

AI help inside Salesforce, Dynamics, ServiceNow or your own portal.

03

Legacy

AI over legacy data

Natural-language queries, summaries and document processing on old data.

04

Modernise

Targeted modernisation

Rebuild only the components AI needs, without a big-bang migration.

Use cases

Where integration pays off first.

Where integration pays off first.

Start where people lose time moving between systems.

Start where people lose time moving between systems.

01

Sales

CRM copilots

Account summaries, next steps and drafted follow-ups inside Salesforce or HubSpot.

02

Operations

ERP insights

Ask SAP or Dynamics in plain language instead of building another report.

03

Service

Service desks

Ticket summaries and suggested fixes in ServiceNow or Zendesk.

04

Legacy

Legacy portals

An AI layer over internal apps and databases nobody wants to touch.

Security

Low risk by design.

Access and data

Least-privilege access to every connected system.

Runs in your environment: your cloud, private cloud or on-premises.

Private models when data can’t leave your network.

Full audit logs of every AI action.

Safe rollout

Human approval before AI writes to core systems.

Phased releases, one integration at a time.

A tested rollback plan for every change.

Cutovers planned around your business hours.

Engagement

Assess first. Then one integration at a time.

We start with an integration assessment of your systems, data and access. Then we deliver a first integration at a fixed price agreed upfront, with clear success criteria, before a phased rollout across more systems and teams. If the scope changes, we talk before anything is billed.

0wks

From assessment to first live integration.

0surprises

Fixed price, agreed upfront.

Tech stack

Built to fit your architecture.

Built to fit your architecture.

Standard interfaces where they exist, careful adapters where they don’t.

Standard interfaces where they exist, careful adapters where they don’t.

01

Interfaces

APIs and protocols

REST, GraphQL and MCP, behind your middleware or API gateway.

02

Code

Services

Python and FastAPI, with .NET or Java where your systems need it.

03

Models

AI models

LLM APIs or private models, chosen for cost, quality and data rules.

04

Cloud

Hosting

Azure, AWS or Google Cloud, or on-premises.

Process

Four steps.
From legacy systems to AI that fits.

Four steps. From legacy systems to AI that fits.

Phased, never big-bang.
A rollback plan for every release.

01

Assess.

We map your systems, data, access and risks, and pick the first integration.

02
Connect.

We build the APIs, middleware and adapters, with least-privilege access.

03
Pilot.

We run the first integration with one team, measure it and agree the next step.

04
Roll out.

We extend in phases, with audit logs, monitoring and a rollback plan for each release.

01

Assess.

We map your systems, data, access and risks, and pick the first integration.

02

Connect.

We build the APIs, middleware and adapters, with least-privilege access.

03

Pilot.

We run the first integration with one team, measure it and agree the next step.

04

Roll out.

We extend in phases, with audit logs, monitoring and a rollback plan for each release.

01

Assess.

We map your systems, data, access and risks, and pick the first integration.

02

Connect.

We build the APIs, middleware and adapters, with least-privilege access.

03

Pilot.

We run the first integration with one team, measure it and agree the next step.

04

Roll out.

We extend in phases, with audit logs, monitoring and a rollback plan for each release.

Case studies

Integrations in production, and what changed.

0%

[X%] — [metric, e.g. less manual handling]

0hrs

[X hrs saved] per week

[Industry]

[Team size]

[Client A quote — add once approved]

Read story

[Client contact]

[Role], [Client A]

0%

[X%] — [metric, e.g. less manual handling]

0hrs

[X hrs saved] per week

[Industry]

[Team size]

[Client A quote — add once approved]

Read story

[Client contact]

[Role], [Client A]

0%

[X%] — [metric, e.g. less manual handling]

0hrs

[X hrs saved] per week

[Industry]

[Team size]

[Client A quote — add once approved]

Read story

[Client contact]

[Role], [Client A]

FAQ

Common questions, clear answers.

Common questions, clear answers.

Do we need to replace our systems?

What if our legacy system has no API?

How do you keep our data secure?

Is there a risk of downtime?

How much does it cost?

How long does it take?

Who maintains it?

How is this different from agents or automation?

Start with a free fit call.

30 minutes to check the fit. Then a fixed-price two-week AI Audit, with its fee credited to your pilot.

© 2026 Connetix. AI consulting & engineering.

Start with a free fit call.

30 minutes to check the fit. Then a fixed-price two-week AI Audit, with its fee credited to your pilot.

© 2026 Connetix. AI consulting & engineering.

Start with a free fit call.

30 minutes to check the fit. Then a fixed-price two-week AI Audit, with its fee credited to your pilot.

© 2026 Connetix. AI consulting & engineering.

Start with a free fit call.

30 minutes to check the fit. Then a fixed-price two-week AI Audit, with its fee credited to your pilot.

© 2026 Connetix. AI consulting & engineering.