AI Integration Services
AI built into the systems you already run.
Most AI projects fail because they try to replace working systems instead of extending them. We embed AI capability - retrieval, reasoning, automation - into your existing ERP, CRM, and custom applications, so your team keeps the tools and data they know.
What’s included.
Retrieval-augmented generation (RAG)
LLM answers grounded in your documents, policies, tickets, and databases - with citations, access control, and evaluation suites so answers stay accurate.
Copilots inside existing tools
Assistants embedded in the software your team already uses: drafting in your CRM, lookups in your ERP, summaries in your support desk.
Document and data pipelines
Extraction, classification, and routing for invoices, contracts, claims, and emails - structured output written back into your systems of record.
API and middleware integration
Model providers (OpenAI, Anthropic, open-source) connected to your stack through a maintainable service layer with logging, fallbacks, and cost controls.
Systems we work with
How it runs.
Audit
We map your current systems, data sources, and the workflow you want to change, then define the success metric with you before anything is built.
System map · Data readiness review · Success criteria document
Pilot
A fixed-scope, fixed-price build of the core working loop in 4-6 weeks. Working software your team can test against real cases, not a slide deck.
Working pilot system · Evaluation results · Pilot-to-production plan
Integrate
We wire the system into your stack - CRM, ERP, databases, telephony, internal tools - with access controls, logging, and human-review checkpoints.
Production integrations · Access and audit controls · Runbook
Scale
90 days of post-deploy tuning are included. We review real usage, fix edge cases, and hand over a system your team can operate and extend.
Usage reviews · Documentation · Handover and training
What you get out of it.
AI features running inside your current stack instead of another disconnected tool.
Answers and automations grounded in your data, with citations and audit trails.
A measured pilot before any production commitment - success criteria agreed upfront.
An integration layer your engineers can maintain, documented and handed over.
Common questions.
Can you integrate AI without replacing our existing software?
Yes - that is the core of what we do. We build an integration layer around your current ERP, CRM, or custom applications. Your systems of record stay where they are; AI reads from and writes to them through controlled APIs.
How do you keep our data secure?
Engagements run under NDA. We design around least-privilege access, keep your data inside your cloud where possible, support private model deployments when required, and document every data flow before it ships.
What does a typical engagement look like?
A fixed-price, fixed-scope pilot of 4-6 weeks that ships a working integration against one workflow, measured against success criteria we agree on in week one. If the pilot proves out, we move to production integration and scaling.
Which AI models do you work with?
OpenAI, Anthropic, Google, and open-source models, chosen per use case for accuracy, latency, cost, and data-residency requirements - not by default vendor preference.
Book a strategy call.
30 minutes, engineers on the call, no deck. We’ll map your workflow and tell you honestly whether AI pays back - and what a fixed-price pilot would look like.
Or tell us about the project
We reply within one business day.