# Weaver

> Weaver is the AI-Native Systems Integrator: a joint venture between TQuila and You.com that proves the ROI before building and ships production AI for US enterprises on a fixed fee. Most AI firms build first. We prove the ROI first.

Weaver runs every engagement on Return on Intelligence: the measurable business value generated per dollar spent on AI, scored across six beams (Value, Cost, Trust, Performance, Joined-Up Intelligence, Human Enablement). Delivery follows a fixed cadence. Measure is the Weaver AI Assessment: a fixed-fee engagement of two to three weeks (from about $25K departmental scope to $40K+ upper-enterprise) that produces a dual-vector financial model covering hard cost reduction plus revenue acceleration, with a defensible payback period. If the number is not there, we say so. Build ships fixed-fee production systems in six to twelve weeks, embedded in existing ERP, CRM and workflow estates. Compound sustains adoption through training, Centers of Excellence and office hours. Pricing is fixed-fee, fixed-scope, fixed-timeline: the price you sign is the price you pay. Weaver is platform-agnostic; its one named technology partner is You.com. Used in production. Not in pilot.

Key facts
- CEO: Peter Grant, formerly CRO of You.com.
- Structure: joint venture between TQuila (nearly three decades of enterprise consulting and delivery at global scale) and You.com (pioneers in real-time AI and frontier model innovation).
- Services market: US enterprises with $1B+ revenue or 1,000+ employees, across Healthcare & Life Sciences, Insurance, Manufacturing & Industrials, and Business Services.
- The ROI Index is free and global for companies over $100M revenue, any sector.
- Benchmark dataset: 3M+ users, 100,000+ agents, 1,500+ enterprise peers, drawn from live production systems.
- Market context: 95% of business AI programs fail to deliver measurable value (MIT NANDA, 2025). Weaver is built for the other 5%.
- In production with The Telegraph, The Canadian Press, Analog Devices, and Teradyne, among others.

## AI Maturity Benchmarking: The ROI Index
- [Take The ROI Index](https://theroiindex.goweaver.ai/): Free, about 10 minutes. Scores your AI program against 1,500+ enterprise peers on live production data across 40+ frontier models, not a self-reported survey. Output: a peer percentile, a dollarised gap table, and the three moves that pay back fastest, in a board-ready export.
- [About The ROI Index](/ai-maturity-benchmark): What the Index measures and how the scoring works.

## Services
- [AI Strategy](/what-we-do): Where AI will deliver value and where it will not: modeled returns, focused priorities, and a sequenced roadmap.
- [Custom AI Build](/what-you-get): Fixed-fee production systems in six to twelve weeks. Deterministic ML plus GenAI, with regression protection that insulates production workflows from foundation-model drift.
- [Weaver AI Assessment](/assessment): The Measure phase. Fixed fee, two to three weeks, four deliverables: maturity scorecard, dual-vector ROI model, risk register, sequenced roadmap.
- [AI Literacy & Workforce Enablement](/ai-literacy): Training, certification and Centers of Excellence so adoption compounds after go-live.
- [AI Literacy Certification](/ai-literacy/certification): Weaver's AI literacy certification.
- [Enterprise Literacy Rollout](/ai-literacy/enterprise): Organization-wide enablement programs.

## Concept
- [Return on Intelligence](/return-on-intelligence): The definition, the six beams, and the AI Maturity Curve from Shadow AI to the Agentic Enterprise.

## Company
- [Home](/): Positioning, proof, and the offer.
- [About](/about): Leadership and the TQuila and You.com joint venture.
- [Who We Serve](/who-we-serve): Sectors, buying committees, and where Weaver fits.
- [Careers](/careers): Open roles at Weaver.
- [FAQs](/faqs): The fixed-fee model, timelines, and how engagements run.

## Insights
- [How The Telegraph and Mimecast Put AI Into Production, and Kept It There](/what-we-think/case-study-mimecast-telegraph): Case study: production AI in the newsroom and the enterprise, still running.
- [The Return on Intelligence Manifesto](/what-we-think/manifesto-return-on-intelligence): Why measurable value per AI dollar, not access, is the constraint of this era.
- [Own the Answer: A decision framework for closed, open, cloud, and on-prem AI](/what-we-think/whitepaper-own-the-answer): A decision framework for closed, open, cloud, and on-prem enterprise AI.
- [An Introduction to Decoupled Agent Frameworks](/what-we-think/whitepaper-decoupled-agent-frameworks): At organizational scale, the unit of work is an agent, not a prompt.
- [Four Architecture Decisions That Get Enterprise AI to Production](/what-we-think/whitepaper-production-ai-architecture): Four architecture decisions that get enterprise AI to production, not stuck in pilot.
- [AI Literacy Is the Multiplier. Role-Based Training Is How You Earn It](/what-we-think/research-ai-literacy-multiplier): Why role-based training, not more tooling, is the multiplier on AI investment.
- [Why 40% of Agentic AI Projects Will Fail by 2027](/what-we-think/opinion-agentic-ai-failure): Agentic AI failure is an architecture problem, not a talent or strategy problem.
- [Your AI Partner Just Became a Google Salesperson](/what-we-think/opinion-vendor-lock-in): When your advisor's pay depends on the stack you choose, you have a salesperson.
- [The 80/20 Rule That PwC Won't Tell You About](/what-we-think/opinion-pwc-eighty-twenty): PwC's own research says technology delivers 20 percent of AI value; the rest is organizational.
- [The 40% Problem: What MIT and BCG Discovered About AI and the Workers Using It](/what-we-think/opinion-jagged-frontier): Inside AI's capabilities, performance jumps 40 percent; just outside, it drops sharply.
- [You're Probably Using 10x More AI Than You Need To](/what-we-think/opinion-lottery-ticket): Most enterprises are using 10x more AI compute than they actually need.
- [The Adoption Gap: Why Trained Users Get 15x More From Your AI Investment](/what-we-think/research-ai-training-adoption): Trained users get 15x more from your AI investment than untrained ones.
- [Your AI Vendor Will Deprecate Their Model. Here Is Why That Should Not Be Your Problem](/what-we-think/opinion-ai-landscape-warp): The AI landscape shifts every 90 days; most enterprises have no protection.
- [The Silicon Divide: Why Your Corporate Laptop is Strangling Your AI ROI](/what-we-think/opinion-silicon-divide): Why corporate laptop policies are strangling AI ROI for knowledge workers.
- [Your AI Pilot Worked. You Just Can't Prove It](/what-we-think/research-ai-pilot-measurement): Most AI pilots succeed technically and fail commercially because nobody defined success.
- [RAG Is Not Dead](/what-we-think/opinion-rag-is-not-dead): Why retrieval still matters for enterprises, even as context windows grow.
- [The $186 Hidden Tax Your AI Program Is Generating Every Month](/what-we-think/opinion-workslop-tax): Your organization is paying about $186 per employee monthly to fix AI's mistakes.
- [The Bus Stops Here](/what-we-think/manifesto-bus-stops-here): Why the Big 4 model for building AI practices is structurally misaligned with outcomes.
- [Why McKinsey Moving to Performance Fees Validates Everything We Said](/what-we-think/opinion-mckinsey-performance-fees): McKinsey shifting to performance fees signals the end of the billable-hour AI model.
- [AI Returns $3.70 Per Dollar. Most Organizations Get Less Than $1](/what-we-think/research-ai-returns): The gap between AI leaders and laggards is architecture and governance, not budget.
- [Why Most Enterprise AI Dies Between the Demo and Production](/what-we-think/research-why-ai-dies): The demo works; then it meets real data, real systems, real users, and dies.
- [McKinsey Deployed 12,000 AI Agents. Here Is What Enterprise AI Actually Looks Like at Scale](/what-we-think/research-mckinsey-12000-agents): McKinsey deployed 12,000 agents; what enterprise AI actually looks like at scale.

## Contact
- hello@goweaver.ai