What you get
One bounded, fixed-fee engagement that delivers four things.
The map
Week 1A focused pass on one core workflow: the as-is, where value leaks, and the single highest-value step an agent should own first. The old diagnostic, compressed and pointed at one target.
The agent
Weeks 2 to 4One production-candidate agent, built on your own stack against a real workflow with real data, model chosen on evidence not allegiance. Not a demo: a candidate that runs, with evals, guardrails and a human in the loop where it needs one.
The transfer
ThroughoutTwo or three of your people in the room the whole time, building alongside the QuantSpark engineer, plus a runbook, the eval harness and the code and IP, all yours to keep.
The honest read
At the endWhere this agent goes next, and whether the next move is to run it yourselves, scale the pattern, or harden it to enterprise grade. The recommendation is a by-product of having built something, not the thing you paid for.
Five weeks, from start to working agent
A fixed scope and a fixed fee. The map is week one, not a separate product you buy first.
Map one workflow
We map a single core workflow end to end, find where value leaks, and agree the one step the agent should own first.
Build on your stack
We build the agent against real data on the systems you already run, your people building alongside us, with evals and guardrails from day one.
Prove and hand over
We tune thresholds, confirm the agent runs safely on the clean cases and routes the ambiguous ones to a person, and hand you the runbook, the eval harness and the code.
You do not buy an agent from us. You acquire the ability to build the next one
Your people are in the room, not on a status call. You leave with the agent, the runbook, the eval harness and the code, and with two or three colleagues who have now done it once and can do it again. This is the move a firm that bills by the day cannot make, because capability transfer cannibalises the day rate. For us it is the opposite: every client we teach builds more, prototypes more, and brings us the hard 20% to harden.
What our agents have already done
Four production agents, on real stacks, with numbers we can defend.
50% of order handling automated, across 50,000 orders a year
At a wood-products manufacturer, a production order-processing agent went live within 24 hours of GPT-4o’s release, reading incoming orders and posting clean ones straight to the ERP, routing only the ambiguous ones to a person.
$3.5m of contract revenue leakage found
For a global airport-services operator, an agent read thousands of negotiated contracts across four regions, pulled the pricing terms into structure and flagged where billing had quietly diverged from what was agreed.
Over a million items processed in hours
For a government client, an agent pipeline read a body of open-source material equal to roughly 9.5 years of manual reading, and handed analysts structured findings with the sources attached.
40 days of manual review, gone
At an asset manager, an annual portfolio review that consumed around 40 working days of pulling figures into slides became a live dashboard the committee can interrogate on demand.
The agents are new. The team behind them is not
Then you choose
First Agent ends at a fork. All four paths are honest, and one of them is to stop.
Run it yourself
You own it. If one agent is all you needed, we have done our job and we say so.
AiRE Rollout
From £8k/monthThe pattern worked. We embed and scale it across more workflows, coaching your team as we go. The retainer now sits behind a proven first win.
Labs Build
From £150kThe agent is business-critical and has to survive real scale, integration and audit. QuantSpark Labs productionises the winning 20%.
Build Lab bootcamp
Send more of your leaders and teams to learn to map and build for themselves, so the capability compounds across the organisation.
Start with a working agent
Five weeks, one agent live on your stack, your team trained to run it. Or start with the free readiness diagnostic: three minutes, no follow-up unless you ask.
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