Pricing
We get paid when the AI works in production.
Pay-for-performance pricing aligns our incentives with yours. We propose specific outcomes — a deployed agent processing X claims per month at Y error rate, a model closing Z% more tickets, a workflow that takes 70% less time — and we structure the engagement so the outcome fee triggers when the work delivers. If it doesn't, the outcome fee doesn't get charged. Base fees cover engineering capacity at a senior rate; outcome fees cover the value delivered.
How we structure engagements
Three engagement shapes cover roughly 90% of how we work. The base fee for each is quoted after a 30-minute scoping call against your specifics — every engagement is custom-priced. We don't publish per-day rates because outcome thresholds shape the economics more than days-engaged.
AI Readiness Diagnosis
Base: Fixed-price engagement. Maps your data, stack, processes, and team against the highest-leverage AI workloads available in the next 90 days.
Outcome fee: Deliverable is a prioritized 90-day implementation plan with each workload sized for cost, risk, and expected lift. No outcome fee — diagnosis is intentionally pre-implementation.
Best fit: Mid-market and enterprise teams that have heard "we should do AI" and need a defensible plan before committing budget.
Forward-Deployed Implementation
Base: One or two senior engineers embedded with your team to ship a specific AI workload (agent, copilot, model integration, document automation). Base fee covers engineering capacity.
Outcome fee: Outcome fee triggered when the workload hits the contracted production threshold (e.g. ≥X claims/month at ≤Y% error rate, ≥Z% reduction in escalations). Paid as a single milestone or tranches.
Best fit: Teams with a specific, measurable AI workload candidate where the success threshold can be defined upfront.
Implementation Oversight
Base: Operating as the technical owner on top of your existing offshore vendors or in-house team. Architecture, code review, vendor management, escalation point.
Outcome fee: Outcome fee tied to delivery milestones across the portfolio of workloads under oversight. Paid quarterly against the contracted milestones.
Best fit: CTOs / CIOs running multiple AI initiatives who need a senior owner without hiring full-time.
What "outcome" means in writing
Every implementation engagement codifies the outcome threshold in the SOW: the metric, the measurement window, the data source, the threshold value, and how disputes get resolved. We will not start an outcome-priced engagement without that clause. We require it because it forces both sides to agree on what success means before code is shipped, which is the single biggest predictor of whether the project succeeds.
What it doesn't include
- Cloud infrastructure costs, third-party API fees (LLM API, vector DB, etc.), and licensing for your existing software stack — those are passed through at cost or paid by you directly.
- Permanent staffing — we are deliberately a project firm. If you need to hire AI engineers full-time, we will help you write the role and screen candidates as part of the engagement, but we don't recruit-to-hire.
- Compliance certifications, security audits, legal review of contracts. We coordinate with your team's existing providers; we don't replicate them.
Get a quote
The fastest path is a 30-minute scoping call. Use /schedule or send a brief at /contact. We typically respond within one business day.