AI & Intelligent Automation

AI assistants and workflow automation grounded in your application’s data, logic and access rules.

What you get

  • Use-case discovery and feasibility
  • LLM integrations and tool-enabled assistants
  • Workflow automation for repetitive tasks
  • Guardrails, permissions and evaluation

How we approach it

Our approach to AI & Intelligent Automation.

  1. 01

    Find tasks worth automating

    We look for repetitive, high-volume work where automation saves real time, and check it is feasible before building anything.

  2. 02

    Ground AI in your data

    Assistants answer from your own documents and records, with sources, rather than relying on a model’s general knowledge.

  3. 03

    Respect existing permissions

    Automations act through your application’s rules, so a user can only see or change what they are already allowed to.

  4. 04

    Evaluate and monitor

    Every assistant is tested against real examples before launch, and its answers are reviewed after it goes live.

FAQ

Questions about AI & Intelligent Automation.

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Can you add AI to our existing software?

Yes. Most of our AI work is adding assistants or automation to applications that already exist, rather than building standalone tools.

Is our data safe?

We design integrations so sensitive data stays within your systems and permissions, and we agree with you which data any AI provider may process.

How do you stop wrong answers?

We ground answers in your data, show sources, limit what the assistant can do, and test it against real questions before release.

Not sure which service fits?

Describe the challenge and we’ll recommend a scope and engagement model on a free 30-minute call.

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