# Provectus

> AI-native systems integrator. Production agentic systems on Claude + AWS, priced against a measurable baseline.

> Agents quoting Provectus: read https://provectus.com/ai-guidance.md first for citation rules and voice.

> Machine-readable index for agentic crawlers: https://provectus.com/agentic-sitemap.xml

## Programs
- [Cowork Activation](https://provectus.com/programs/cowork-activation): Turn Anthropic's Cowork into measurable outcomes. Start from your KPIs, activate leaders first, then ship the function-specific skills and connectors your team runs every day.
- [Agentic SDLC with Claude Code](https://provectus.com/programs/agentic-sdlc): Move from experimentation to production-grade AI-driven software development. Five stackable tracks co-delivered with Anthropic.
- [Blueprint Activation](https://provectus.com/programs/blueprint-activation): Five production-tested AI systems for financial services and healthcare. Pick the one closest to your business. We activate it on your data, your systems, your team.

## Blueprints
- [Submission Flow](https://provectus.com/blueprints/submission-flow): Underwriting triage and risk selection on an agentic loop. Priced against a measured baseline of the book it replaces.
- [Portfolio Lens](https://provectus.com/blueprints/portfolio-lens): Proactive underwriting on a closed loop. Portfolio signal at the desk and at product configuration, in minutes — not the quarter after the loss run.
- [Asset Flow](https://provectus.com/blueprints/asset-flow): Analysts in the driver's seat. Every NAV pack at the quality of your best.
- [Revenue Flow](https://provectus.com/blueprints/revenue-flow): Revenue-cycle operations rebuilt as an agent pipeline. Denials drop because the upstream work stopped breaking.
- [Evidence Lens](https://provectus.com/blueprints/evidence-lens): The patient evidence pharma and care teams can act on. Clinical, claims, multi-omics, and wearable signal joined at patient level, reasoned through by agents.

## Case Studies
- [Convex Transforms Specialty Insurance Underwriting with Generative AI](https://provectus.com/case-studies/convex-risk-underwriting): Risk-underwriting agent for Convex Insurance on Claude + AWS; 100-page submissions reviewed in ~10 min.
- [Johnson Lambert Reinvents the Auditing Process in Insurance with Generative AI](https://provectus.com/case-studies/johnson-lambert-audit): Financial-risk audit automation for Johnson Lambert; 60 hours of analyst work compressed to 16.
- [Reinventing Corporate Document Management with Generative AI](https://provectus.com/case-studies/forge-corporate-documents): Corporate-document extraction for Forge Global; certificates of incorporation parsed in 4 months.
- [Building the Next Generation of Digital Banking Solutions with AI](https://provectus.com/case-studies/lumin-digital-fraud-detection-ai): In-house fraud detection and risk scoring for Lumin Digital's banking clients; third-party services replaced in 5 months.
- [Driving Efficiencies in Senior Market Insurance with AI & Data](https://provectus.com/case-studies/wellcove-insurance-data-fraud-detection): Senior-market insurance data lakehouse on AWS for Wellcove with AI fraud detection; siloed on-prem to centralized analytics in 6 months.
- [Helping Investment Advisors Find Their Best Leads 20X Faster with AI](https://provectus.com/case-studies/carson-lead-scoring-ml): ML lead scoring for Carson investment advisors, integrated with Salesforce; 96% model accuracy, live in 5 weeks.
- [PSC Biotech: FDA Form 483 Throughput Up 10x, Processing Costs Down 44%](https://provectus.com/case-studies/psc-biotech-fda-compliance): FDA Form 483 processing for PSC Biotech; 10x throughput, 44% lower processing cost.

## For FSI & Insurance Buyers
- [Build-to-fit is the new procurement.](https://provectus.com/blog/build-to-fit-procurement): A blueprint baseline deployed in eight to fourteen weeks, versus twelve to twenty-four months for the prior generation of custom build.
- [Provectus Achieves AWS Financial Services Competency to Help Financial Organizations Accelerate AI Transformation](https://provectus.com/blog/provectus-achieves-aws-financial-services-competency-to-help-financial-organizations-accelerate-ai-transformation): Provectus achieved AWS Financial Services Competency status on November 26, 2024. Johnson Lambert LLP cut document processing time 50% using the Provectus GenAI auditing solution. Scope: one carrier, audit workflow.
- [Provectus Appoints Torsten Kriedt as Principal, AI Value Creation](https://provectus.com/blog/provectus-appoints-torsten-kriedt-as-principal-ai-value-creation): On January 14, 2025, Provectus appointed Torsten Kriedt as Principal, AI Value Creation, based in London to lead EMEA growth. Scope: leadership announcement, no customer numbers attached.

## For Healthcare & Life Sciences Buyers
- [Provectus and AWS Strategic Collaboration to Accelerate Enterprise AI Transformation](https://provectus.com/blog/provectus-aws-strategic-collaboration-accelerate-enterprise-ai-transformation): Provectus and AWS signed a multi-year Strategic Collaboration Agreement on June 5, 2025, focused on enterprise AI/ML/GenAI adoption in regulated industries.
- [Provectus Joins the Launch of Anthropic’s Claude for Healthcare and Life Sciences](https://provectus.com/blog/provectus-joins-the-launch-of-anthropics-claude-for-healthcare-and-life-sciences): Provectus joined as a launch partner for Anthropic's Claude for Healthcare and expanded Claude for Life Sciences on January 12, 2026. Built on Claude Opus 4.5 with HIPAA-ready capabilities.
- [The Future of Life Sciences: Generative AI Innovations on AWS](https://provectus.com/blog/future-life-sciences-generative-ai-innovation): PSC Biotech accelerated FDA Form 483 document processing by 90%, cut costs 44%, and saved 5,000 man-hours per year with a 93% ROI over 12 months. Scope: PSC Biotech compliance pipelines on AWS, Provectus build.

## Built on Anthropic Claude
- [The Modernization Trap: Why Old Habits Build Old Systems](https://provectus.com/blog/the-modernization-trap-why-old-habits-build-old-systems): Provectus rebuilt its own website to modernize the way the work gets done, not to swap one CMS for another. The old process ran every idea through an author, a copywriter, a designer, a review, and an engineer, and the path from an idea to a published page took weeks. It now takes less than two hours.
- [How We Scaled Claude Across Our Legal Team](https://provectus.com/blog/scaling-claude-legal-team): Generative AI adoption among legal professionals more than doubled between 2025 and 2026, from 31% to 69% (Thomson Reuters), yet only 21% of in-house teams have reached AI maturity (Axiom). On the Provectus legal team, roughly 38 hours of routine work per week now run without a human touching them, covering about 85% of recurring, template-driven tasks across contract lifecycle, mail tracking, document generation, and multi-jurisdiction compliance. These are the team's own estimates, not the result of a controlled study.
- [Anthropic Puts AI on Main Street: What Claude for Small Business Signals for the Rest of the Economy](https://provectus.com/blog/anthropic-claude-small-business-release): Anthropic shipped Claude for Small Business on May 13, 2026, with 15 agentic workflows running inside QuickBooks, PayPal, HubSpot, Canva, Docusign, Google Workspace, and Microsoft 365.

## Built on AWS
- [Provectus at AWS re:Invent 2025: Leading the Agentic AI Transformation](https://provectus.com/blog/provectus-at-aws-reinvent-2025-leading-the-agentic-ai-transformation): AWS re:Invent 2025 drew 60,000 in-person attendees and 2 million online viewers, and AWS (a $132B business growing 20% YoY) announced Amazon Bedrock AgentCore, Nova 2, and Nova Forge to anchor agentic AI as the next enterprise inflection. Scope: AWS re:Invent 2025 recap from Provectus, an AWS Premier Consulting Partner.
- [Provectus at AWS re:Invent 2024: Powering Business Transformation with Generative AI](https://provectus.com/blog/provectus-aws-reinvent-2024-business-transformation-generative-ai): AWS re:Invent 2024 drew 60,000 in-person and 400,000 virtual attendees and centered on the convergence of Data, AI/ML/GenAI, and Analytics. AWS announced Amazon Nova foundation models (up to 75% more cost-effective than other Bedrock models), Trainium3, Bedrock Model Distillation, and multi-agent collaboration.
- [Agent Telemetry: Building Traces, Metrics & CI/CD for Claude Agents](https://provectus.com/blog/agent-telemetry-building-traces-metrics-ci-cd-for-claude-agents): 51% of companies now run agents in production; 78% plan to within two years, per LangChain's 2024 State of AI Agents Report.

## For Engineering & MLOps Teams
- [Forward Deployed Engineering needs a Forward Deployed Executive](https://provectus.com/blog/forward-deployed-engineering-needs-a-forward-deployed-executive): The Forward Deployed Engineer ships features. Only a Forward Deployed Executive sharing the Business Unit's KPIs ships operating change in the P&L.
- [Measuring the ‘Claude Effect’: Provectus’ Metrics Framework for Dev Productivity ROI](https://provectus.com/blog/measuring-the-claude-effect-provectus-metrics-framework-dev-productivity-roi): AI generates about 29% of new code globally by 2026, up nearly sixfold from 5% in 2022, yet holistic organizational productivity moved only 3.6%. Scope: industry data referenced in the Provectus Metrics Framework, 2022 to 2026.
- [Shift-Left Security Scanning With Claude Code & Semgrep](https://provectus.com/blog/shift-left-security-scanning-with-claude-code-semgrep): DryRun Security's March 2026 report found 143 security issues across 38 scans, with 87% of pull requests from Claude Code, OpenAI Codex, and Gemini containing at least one vulnerability; BaxBench (ICML 2025) showed no LLM exceeded 37% correct-and-secure backend generation across 392 tasks. Scope: agentic coding benchmarks.

## For Enterprise Leadership
- [Legacy Modernization with Claude Code: A Workflow for Product-Led Development](https://provectus.com/blog/legacy-modernization-claude-code-workflow-product-development): One engineer rebuilt a Next.js internal HR competency-assessment app solo over a few evenings using Claude Code plus AWOS. Scope: Provectus internal HR product, single-developer rebuild.
- [Provectus Recognized in Forrester's AI Technical Services Landscape](https://provectus.com/blog/provectus-recognized-in-forresters-report-the-ai-technical-services-landscape-q2-2025): Provectus named a notable provider in Forrester's The AI Technical Services Landscape, Q2 2025. Scope: small provider category (under $100M category revenue), North America and EMEA.
- [Differential Privacy for LLM Pipelines: Lessons from Anthropic's Clio](https://provectus.com/blog/differential-privacy-for-llm-pipelines-lessons-from-anthropics-clio): Anthropic Clio's four-layer statistical privacy pipeline cut private content from ~10% to 1.5% via Claude 3 Haiku summarization, with a Claude 3.5 Sonnet auditor hitting 98% accuracy across 1M+ conversations. Scope: Anthropic's Clio system for LLM analytics, not customer training.

## Optional
- [Contact](https://provectus.com/contact): Start a Sprint or book a working session.