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AI Integration & Automation

Practical AI features inside the software you already run

We integrate large language models from providers such as OpenAI and Anthropic into real products — summaries, extraction, assistants and automations — with evaluation, guardrails and cost limits.

Discuss your project See entry engagements

How does ImliStack approach AI integration?

ImliStack treats AI as a product feature, not a demo. We start with one workflow where a language model saves measurable time, build a working prototype on your real data, evaluate output quality, then add guardrails, human review, logging and cost controls before production. We integrate hosted models through their APIs rather than training models from scratch.

Is this for you

Where we usually help

If any of these sound familiar, a short call is the fastest way to find out whether we are the right fit.

  • Teams spend hours summarising calls, documents or tickets
  • You want an AI feature in your product but need it to be dependable
  • Data arrives as PDFs, emails or transcripts and is re-typed by hand
  • You need a credible prototype before committing budget

What we deliver

AI Integration & Automation capabilities

01

LLM-powered product features

Summaries, drafting, classification and assistants embedded in your app.

02

Document & transcript workflows

Extract decisions, action items or fields from unstructured text into structured data.

03

Retrieval over your content

Search and question-answering grounded in your documents, with sources shown.

04

AI agents for bounded workflows

Agents that call your APIs and tools to complete multi-step tasks, with permissions, step limits and human approval for actions that matter.

05

Workflow automation

Queue-driven pipelines that trigger AI steps, notify people and update systems.

06

Evaluation & guardrails

Test sets, output validation, fallbacks and human-in-the-loop review.

07

Cost & privacy controls

Usage limits, caching, model selection and data-handling rules agreed up front.

How we work

A delivery approach you can follow

Written plans, visible progress and decisions recorded as we go — so nothing depends on memory.

  1. Pick one workflow

    Choose a task with clear inputs, outputs and a measurable time saving.

  2. Prototype on real data

    A working prototype in days to test feasibility honestly.

  3. Evaluate

    Measure accuracy on representative cases and decide go, adjust or stop.

  4. Productionise

    Guardrails, monitoring, cost limits and UI built for trust.

Technology

Tools we use for ai integration & automation

We choose tools for your constraints, not our habits. See the full technology overview.

  • OpenAI API
  • Anthropic API
  • Python
  • FastAPI
  • LangChain
  • Node.js
  • Next.js
  • BullMQ
  • Zod
  • MongoDB
  • PostgreSQL
  • MySQL
  • Redis

Proof, not promises

Internal builds include an AI meeting-notes product that turns transcripts into decisions and action items, and an AI assistant Android app (AnywhereGPT, open source).

See AI builds

FAQ

AI Integration & Automation: common questions

Do you build AI agents?

Yes, for well-defined workflows. An agent is given a narrow set of tools — your APIs, database queries or documents — plus clear permissions, step limits, logging and human approval before consequential actions. We start with one workflow and measure it before widening scope.

Do you train custom AI models?

No. We integrate hosted large language models through their APIs and combine them with your data, business rules and interfaces. This is faster, cheaper and easier to maintain for most business use cases.

Is our data safe when using AI APIs?

We agree data-handling rules before building: what is sent to a model, what is redacted, which provider terms apply, and what is logged. Sensitive workflows can include anonymisation and human review.

How quickly can we see something working?

The AI Integration Discovery & Prototype engagement is designed to produce a working prototype on representative data, plus an honest feasibility assessment, before any larger commitment.

Related services

All services

Next step

Have a product to build or a system to fix?

Tell us what you are working on. You will get a considered reply from an engineer — with questions, a suggested approach or an honest “we are not the right fit”.

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