How we work
Five stages, defined deliverables, honest timelines, and a clear statement of what we need from your team.
Interviews, observation, and system access review. We watch the work happen rather than relying on process documentation.
The target trajectory is specified: which steps are deterministic, which are model-driven, and where a human must sign.
Implementation on a harness with versioned prompts, tool contracts, structured outputs, retries, and full trajectory capture.
Shadow-mode running against real volume, then a staged cutover with hypercare and a documented rollback path.
Monitoring, exception review, and periodic re-evaluation as models and policies change underneath you.
The harness
Prompt quality plateaus quickly. The scaffolding around the model is what survives contact with production, model upgrades and an examiner's questions.
Operating frameworks
Four frameworks, refined across two decades of institutional investing and applied AI, that shape every workflow we build.
Engineering agent workflows like a production line, with deterministic tools and schemas plus kanban-style, decision-theoretic gates (expected value, value-of-information) that decide when to act, escalate, or halt.
Sequencing features by expected revenue impact, payback period, and downside risk, with every roadmap call defended in P&L terms, not story points.
Small, time-boxed bets with explicit kill criteria; redirecting capital and talent the moment evidence turns against the thesis.
Allocating risk across asset classes with explicit limits and governance — the same discipline applied to where an agent is allowed to act autonomously.
Minimum necessary data, defined retention, and no training on your content by default.
Consequential actions require a named reviewer before execution.
Least-privilege service accounts, scoped tool permissions, and full access logging.
NDAs as standard, segregated environments, and named-personnel restrictions on request.
Model and vendor choices assessed against your third-party risk requirements.
Pre-release evaluation gates plus production monitoring for drift and escalation rates.
Next step
A 30-minute discovery call: we look at two or three of your current processes and tell you plainly which are worth automating and which are not.
