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

Research, delivery, finance and outreach all need careful work, and much of it is repetitive groundwork that slows a team down.
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.
Our team uses it every day: faster research, reviewed code and up-to-date operations, with people making the decisions.
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.
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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