AI integration services

AI integration servicesfor the stack you already run.

The fastest path to value isn't a new platform — it's AI embedded in the systems your team already lives in. We integrate LLMs and AI agents into your CRM, helpdesk, ERP, and internal tools: securely connected to your data, deployed to your infrastructure, maintained by your team.

When this is the right move.

01

Your tools don't talk to the models

The value is locked in your CRM, tickets, and documents. Integration is what turns a chatbot into a system that knows your business.

02

Off-the-shelf AI features fall short

The built-in 'AI assistant' in your SaaS tools doesn't know your process. A proper integration does exactly what your workflow needs.

03

Security review keeps blocking AI projects

Data residency, access control, audit trails. We design integrations that pass review — not ones that route customer data through a black box.

04

A pilot worked, but it lives in a silo

The prototype runs in a notebook or a separate app nobody opens. Integration into the daily tools is what makes adoption automatic.

What you walk away with.

Concrete deliverables — not a deck and a goodbye.

Deliverable · 01

AI embedded in your tools

LLM-powered features inside your CRM, helpdesk, ERP, Slack, or internal apps — where the work already happens.

Deliverable · 02

Data pipelines & retrieval

Your documents and records made available to the models safely — grounding, permissions, and freshness handled.

Deliverable · 03

Security & access design

Role-based access, audit logging, and data-handling boundaries that pass infosec review.

Deliverable · 04

Deployment to your infrastructure

Runs where you run — your cloud, your VPC, your compliance perimeter. With monitoring from day one.

How we work, end-to-end.

A four-step path from the first honest audit to embedded.

  1. Step i 01

    Audit

    Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.

  2. Step ii 02

    Roadmap

    A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.

  3. Step iii 03

    Build

    We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.

  4. Step iv 04

    Embed

    Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.

Common questions.

What do AI integration services include?

Scoping the use case, connecting the model to your systems and data (APIs, webhooks, retrieval pipelines), building the workflow logic and guardrails, security and access design, deployment to your infrastructure, and handoff with documentation. The result is AI working inside your existing tools — not another tab.

Which systems can you integrate AI with?

Most modern stacks: CRMs like Salesforce and HubSpot, helpdesks like Zendesk and Intercom, Slack and Teams, ERPs, data warehouses like Snowflake and BigQuery, and custom internal tools. If it has an API — or even just a database — we can usually integrate it.

How do you handle data security and privacy?

Integrations run inside your compliance perimeter: your cloud accounts, your access controls, audit logging on every AI action. We design what data the models can see, mask what they shouldn't, and document the data flows for your security team before anything ships.

AI integration vs AI implementation — what's the difference?

In practice they're the same engagement. 'Implementation' usually means the full arc — picking the use case, building, and rolling out — while 'integration' emphasizes wiring AI into existing systems. We do both: every implementation we ship is integrated into the tools your team already uses.

How long does an AI integration take?

Focused integrations — say, an AI layer inside your helpdesk — typically ship in 4–6 weeks. Deeper work involving multiple systems and data pipelines runs 8–12 weeks. The audit stage gives you a scoped estimate before you commit.

Other ways we help

Not sure if this is the right starting point?

A 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.