Sprint
1 week . fixed fee
Pick a blueprint. We measure the current baseline for your process. Write the cost-benefit. If the blueprint does not fit, we say so in writing.
Provectus · AI Systems Integrator · Since 2010
Production AI and data systems. Owned by your team. Measured by outcomes.
See our workWho we are
The Provectus team · since 2010
Proof
A unified genomics and clinical data platform that cut third-party licensing, lifted annotation throughput, and put self-serve analytics for R&D in the hands of researchers.
Accelerating and scaling underwriters’ decision-making by replacing hours of SME report review with a GenAI document intelligence solution that underwriters own.
Johnson Lamberts builds a GenAI solution on Amazon Bedrock that extracts, normalizes, and validates data from audit reports, so auditors prepare financial risk audits nearly 4x faster.
PepsiCo leverages an AI/ML-powered, always-on marketing intelligence platform to deliver real-time ROI insights, optimize billions in media spend, and scale global marketing efficiency
Where we focus
The Provectus catalog · 2026
The catalog is small on purpose. Each blueprint exists because we have shipped it enough times that we have working code on day one. The Blueprints page carries the full anatomy of each.
We also operate in retail, manufacturing, and media. The five above are where we have the deepest pattern libraries.
01–03 · Financial Services & Insurance
04–05 · Healthcare & Life Sciences
How we work
By invitation
The shift
A private hands-on program where C-suite leaders build with AI. Full-day immersive labs. No slides, no demos. You build.
FSI + HCLS
The lever
Eight production-tested AI systems for FSI and HCLS. Pick the one closest to your business. We activate it on your data, your systems, your team.
Anthropic Strategic Partner
The bet
AI software engineering at production grade. Five stackable tracks, co-delivered with Anthropic.
Point of view
The buy-vs-build decision was a cost decision. Cost just inverted — and a new managed-services category is forming around the workloads SaaS never fit.
The Forward Deployed Engineer is the right unit of work for AI adoption inside an enterprise. It is one altitude too low for the outcomes most enterprises actually want.
A guide for developers and technical leads on how to add automated security checks directly into Claude Code workflows – from local IDE to CI/CD pipeline – using Semgrep through MCP as the connection tool
How we engage
1 week . fixed fee
Pick a blueprint. We measure the current baseline for your process. Write the cost-benefit. If the blueprint does not fit, we say so in writing.
8-14 weeks . milestone-priced
Deploy the baseline. Tune schemas, policies, and integrations to your business. Enable your people and processes to run the system.
ongoing . outcome-priced
Our fees track the outcomes we delivered, measured against the Sprint baseline. Quarterly review proves the value or ends the engagement.
Bounded Confidence
We will build to your business, measure against your definition of success, and hand over every line of code and every architecture document on day one of go-live.
Honest Unknown
We do not yet know your data, your constraints, or your team's readiness. The Sprint exists to learn those things before we commit to outcomes.
Named Trade-Off
Pricing tracks the outcome. In exchange, we need a defined project scope, a measured baseline, and written exit criteria on every milestone. Each phase is priced before it starts.
Book a working session.
No discovery call. Bring your use case. We will show you what a Sprint looks like.