Outcome-driven AI consulting
AppliedWorks AI turns AI ambition into measured business outcomes—machine learning models, LLM systems and AI agents delivered to production. We define the result together. If we don't hit it, you don't pay.
*Industry benchmarks for AI predictive maintenance programs
01 — The problem
95%
MIT research found that despite $30–40 billion invested, 95% of corporate generative AI initiatives show no measurable P&L impact. The causes aren't the models. They're brittle workflows, weak data foundations and consultants paid for effort instead of results.
Source: MIT NANDA, The GenAI Divide (2025)
02 — How the guarantee works
A free AI assessment identifies where AI can produce a measurable result in your business—and where it can't.
We agree on the metric, baseline, target, measurement method and timeline. In writing, before work begins.
One senior team builds, integrates and deploys to production—not to a pilot report or a slide deck.
Fees are tied to hitting the agreed outcome. Miss it, and you don't pay the performance fee.
03 — Services
Every service follows the same rule: define a measurable outcome before the work begins, then make our fee depend on delivering it.
S.01
Opportunity assessments and roadmaps tied to P&L impact. Build-vs-buy decisions, operating model design, vendor selection and rescue plans for stalled pilots.
Outcome: a prioritized AI roadmap with quantified business cases.
S.02
Production RAG over enterprise knowledge, model fine-tuning, evaluation harnesses, permission-aware retrieval, citation controls and API cost optimization.
Outcome: a production copilot with measured answer accuracy.
S.03
Agents and multi-agent workflows that execute real business processes, governed by approval gates, audit trails and human-in-the-loop controls.
Outcome: an agent workflow handling an agreed volume end-to-end.
S.04
Forecasting, classification, anomaly detection, optimization and computer vision—plus the pipelines, monitoring and retraining needed to keep models reliable.
Outcome: a monitored model in production hitting an agreed metric.
S.05
Predictive maintenance, remaining-useful-life models, digital twins, APM programs, CMMS/EAM integration and maintenance copilots over manuals and work-order history.
Outcome: less unplanned downtime on agreed pilot assets.
S.06
AI inventories, risk classification, EU AI Act readiness, technical controls, model risk management, bias audits and post-market monitoring playbooks.
Outcome: an auditable governance program delivered to deadline.
Not sure which service fits? Book a free assessment and we'll tell you—including if the answer is “you don't need us yet.”
04 — Proof of work
Most consultancies show slide decks. We show products. Four platforms, designed, engineered and shipped by our team.
An AI-native operating layer for industrial assets.
Connects live sensor data, physics-based digital twins and governed AI agents—without replacing SCADA, CMMS or historian systems.
Digital twins · edge AI · predictive maintenance twinedgeai.com ↗A digital twin of your organization, with a governed AI workforce.
Maps people, roles, systems and decisions so leaders can simulate change and deploy agents with explicit guardrails and approvals.
Agentic AI · governance · transformation twinorgai.com ↗AI-powered holistic wellness with blockchain rewards.
Pairs AI-driven wellness guidance with a Solana-based reward system designed to make healthy habits stick.
Consumer AI · product design · blockchain holisticwellness.ai ↗AI virtual try-on, decided with friends.
Renders clothes, makeup and hairstyles onto a user's photo, then lets friends vote through a privacy-first web poll.
Generative image AI · consumer UX · privacy trybelle.app ↗These are our own products. Imagine what we'll build for you.
05 — How we work
Traditional consulting bills for time. We get paid when the agreed outcome is achieved. That changes which projects we take, how we scope them and how hard we push to production.
We review your goals, data, systems and constraints. You get an honest opinion on where AI can move a measurable number—and where it can't.
Together we write the outcome contract: metric, baseline, target, measurement method, shared responsibilities and timeline.
Our team builds the data foundations, models, integrations and deployment. Progress stays visible against production milestones.
The result is measured against the agreed baseline. Hit it: full fee. Miss it: you don't pay the performance fee.
Models drift and businesses change. We can continue with monitoring, retraining and expansion under a monthly retainer.
The honest part
The model requires clear access to data and systems, a business sponsor and a measurable baseline. That honesty is the point.
A number we can measure: downtime hours, processing time, cost per case, forecast error, resolution rate or a defined compliance milestone.
The outcome contract defines shared responsibilities and assumptions up front. If a dependency changes, we flag it early and re-scope instead of letting the project drift.
The structure varies by engagement. It may be a cost-covering base plus performance fee, or fully contingent for tightly scoped projects. The exact split is documented before work begins.
From focused 8–12 week pilots to multi-phase transformation programs.
06 — Who we serve
We work across the enterprise, with particular depth in asset-heavy industries—where returns are measured in downtime hours, throughput and maintenance dollars.
07 — About
AppliedWorks AI was founded on a simple frustration: enterprises spend billions on AI, most pilots return nothing, and the consultants get paid either way. We put our fees where our promises are—and we prove our capability with products we've shipped ourselves.
Our economics are connected to yours.
Four shipped products across industrial, enterprise and consumer AI.
Every engagement is scoped to end in production.
We say no when the outcome isn't achievable or measurable.
08 — Contact
Tell us about your business and the number you want AI to move. We'll review your goals, data and systems, then give you an honest read—typically within 1–2 weeks.
Free. No obligation.
If AI isn't right for the problem, we'll say so.
Assessment requests are reviewed by our team within one business day.
Start with the number.
AI that pays for itself—or you don't pay at all.
Book a free AI assessment