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    Case study · AI · Our own R&D

    Alfred, Our AI Operations System

    The AI system our team works with every day: people set and approve the work, specialist agents do the groundwork.

    Alfred, Our AI Operations System
    Client
    TechChaps (our own R&D)
    We did
    Designed and built in-house
    Scale
    23 pipelines, 50 agents
    Used by
    Our team, every day

    The problem

    Research, delivery, finance and outreach all need careful work, and much of it is repetitive groundwork that slows a team down.

    What we built

    A mission queue, 23 pipelines and 50 specialist agents that do the groundwork and check each other, with a team member approving what goes out.

    The result

    Our team uses it every day: faster research, reviewed code and up-to-date operations, with people making the decisions.

    The full story

    Alfred is TechChaps' own AI operations system. It works alongside our team and takes on the repetitive, time-consuming parts of the job, so our people can spend their time on clients, decisions and quality. It is also the proof behind the AI services we sell: we built it for our own work before offering the same approach to clients.

    How the team and Alfred work together: a team member opens a piece of work as a mission. Alfred routes it to the right pipeline (software delivery, infrastructure, research, design, communications, bookkeeping and more, 23 in all), where specialist agents plan it, do the groundwork and check each other's output. The work then comes back to a person, who reviews it, adjusts it where needed and decides what goes out.

    • 50 specialist AI agents with defined jobs: researchers, writers, builders, testers and independent reviewers
    • People in charge at every gate: nothing customer-facing goes out without a team member's approval
    • Independent checks: code is reviewed by separate agents and research claims are checked against sources before they reach the team
    • A shared knowledge base, so decisions, missions and outcomes are recorded for everyone
    • Works over chat: team members can file and follow missions from wherever they are

    The result: our team uses Alfred every day for research reports with verified sources, code that has been through several rounds of review, and finance and operations kept up to date. People stay responsible for the judgement calls; Alfred makes the work around them faster and more consistent. It is exactly the kind of system we build for clients.

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