Who we are

Replyant is a small, senior practice focused on a single question: where does AI earn its keep inside a real business, and where does it just burn cash? We design, ship, and operate AI agents and automation for companies that have stopped being patient with demos.

We are engineers first. The work we do — agent development, business automation, strategic consulting — sits inside one discipline: building software that operators can trust on a Tuesday morning, six months after the press release. Every agent we ship is meant to survive the next model release, the next vendor pivot, and the next round of “this changes everything” headlines. Usually it does.

What we believe

These are not slogans. They are the operating principles that shape every engagement.

  • Anti-hype, pro-evidence. If a system cannot show you measured improvement on a metric your CFO recognises, it is not working. We build for outcomes, not for the deck.
  • Evaluations before shipping. No agent leaves our hands without a test suite, a fail-safe path, and a number against which performance is measured. The interesting question is never “does the demo work” — it is “what is the regression rate three weeks in.”
  • Architecture that survives the next release cycle. Frameworks change every quarter. Model providers raise prices. We build with seams, observability, and an exit plan from day one. The agents we shipped twelve months ago are still running on different models, on different infrastructure, doing the same job.
  • One named owner per system. Every agent we ship has a human accountable for the outcome — usually one of your operators, sometimes one of ours. Committees do not own outcomes. People do.
  • The boring 80% is the work. Anyone can wire a prompt to an API. The value is in the data plumbing, the failure modes, the rate limits, the audit trail, the rollback path. That is where projects fail, and it is where we spend most of our time.

How we work

A typical engagement runs across four phases, all of them short.

Discovery. Two to three weeks. We sit with your operators, watch the actual work, and produce a written plan: what to automate, what to leave alone, what to measure, and what it will cost. If the plan does not pencil out, we say so before you commit.

Build. Six to twelve weeks for a single workflow. We ship behind a feature flag, with evals running on every change. You see progress weekly, not at the end.

Ship. A staged rollout with a named human in the loop. We measure baseline performance against the agent and publish the numbers. No system goes wide until the numbers hold.

Operate. The phase most consultancies skip. We stay with the system for as long as you need — monitoring, retraining, patching, and reporting. When the next model generation lands, we evaluate, migrate where it earns its keep, and leave the rest alone.

Who we work with

Replyant works with operator-led companies — not the kind of organisations that buy AI to put on a roadmap slide for the next funding round. Our customers are CFOs, COOs, and heads of operations who have a workflow that is consuming hours, a metric they need to move, and the appetite to do the work properly.

We are most useful to teams between fifty and a thousand people: large enough to have process worth automating, small enough that decisions still get made by people who understand the work. We have shipped agents into financial services, B2B SaaS, healthcare operations, logistics, legal, and professional services. The pattern across industries is consistent — the technology is rarely the bottleneck.

We are not the right fit if you want a chatbot for a marketing site, an AI strategy slide deck, or a vendor that will agree with everything you say. We turn that work away.

The team

Replyant operates as a small, senior team of engineers and strategists who have built and shipped agents across more than a dozen industries. We deliberately stay small — every engagement runs with senior practitioners on the keyboard, not a layer of account managers in between. When you talk to us about a project, you talk to the person who will build it.