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Overview

AI & automation that earns its place in the workflow

Most AI projects stall somewhere between the demo and the day-to-day. The model works; the process around it does not. We start from the work itself — the documents, tickets, decisions and hand-offs where the time actually goes — and build the AI into that, not beside it.

That might be a copilot grounded in your own documents, an agent that carries a task across several systems, or plain automation that removes a manual step altogether. Often it is a mix. What stays the same is the discipline: a clear baseline, guardrails from day one, and a team that stays to run what it ships.

  • 01Discover

    Grounded in your data

    Answers drawn from your own documents and systems, with the source shown — not a confident guess.

  • 02Secure

    Guardrails built in

    Access control, human review and logging designed in from the start, not bolted on after.

  • 03Integrate

    Works with what you run

    Connected to the CRM, ERP, helpdesk and data you already have. Nothing to rip out and replace.

  • 04Improve

    Measured, then improved

    Every build starts from a baseline, so the gain is something you can check rather than take on trust.

What we offer

Three ways in, one team

Start with the one that fits the problem. Most projects end up drawing on more than one, and the same engineers carry the work across.

  • Generative AI

    Copilots, RAG and content systems

    • Copilots and assistants for internal teams
    • Retrieval over your documents (RAG), with sources
    • Content and document generation
    • Evaluation, prompt tuning and cost control
    Explore Generative AI

  • AI Agents

    Autonomous task and workflow agents

    • Agents that carry a task across several steps
    • Connected to your tools and APIs
    • Human approval where a decision matters
    • Monitoring and a full audit trail
    Explore AI Agents

  • AI Automation

    Document, support and back-office automation

    • Document capture, extraction and checking
    • Support ticket triage and routing
    • Back-office workflows without the copy-paste
    • Built on the systems you already run
    Explore AI Automation

How we work

From first use case to running system

Small enough to prove early, built properly once it has. Each step ends with something you can look at, not a status report.

  1. Phase 01

    Discover

    Map the process, the data and the people involved, and pick the use case with the clearest payoff.

    Output

    A chosen use case, its baseline and a plan.

  2. Phase 02

    Prototype

    A working version on your real data, tested against the baseline before anything is scaled.

    Output

    A prototype you can use, and the numbers from testing it.

  3. Phase 03

    Build & integrate

    Hardened, secured and wired into the systems it depends on, with review steps where they matter.

    Output

    A production release inside your own systems.

  4. Phase 04

    Run & improve

    Monitored in production, measured against the baseline, and tuned as usage grows.

    Output

    Regular reports against the baseline, and the fixes they call for.

Where we apply it

Built for the sector it runs in

What an assistant may say to a patient is not what it may say to a bank customer. The rules of the sector shape the build from the first week.

Start a project

Tell us what you are building

A few lines is enough to start. Tell us the problem, not the solution, and we will come back with the questions that shape the plan.

What happens next

  1. We read it properly

    Someone who would work on the project reads your note and comes back with questions, not a sales script.

  2. We scope it together

    One call to agree the problem, the constraints and what finished looks like — before anyone talks about price.

  3. You get a proposal

    Scope, sequence, timeline and cost, in writing, with the risks we would plan for named up front.

To learn more about how we protect your data, please refer to the Proponent privacy policy.

Next step

Your Partner For What Comes Next. Let's Start The Conversation.

Starting is the easy part. Tell us where you are and what you are trying to reach, and we will map the route — the scope, the sequence, and the risks worth planning for now rather than later. From that first conversation through build, launch and everything after, the same team stays with it.

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