Outcome-driven AI consulting
AppliedWorks AI builds AI that moves a measurable number—LLMs, fine-tuned models, governed agents and machine learning, delivered to production for consumer products and enterprise workflows in any industry. We define the result together. If we don't hit it, you don't pay.
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
From fine-tuning a model to governing an agent fleet, 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 across every function, roadmaps tied to P&L impact, build-vs-buy and model selection, operating model design and rescue plans for stalled pilots.
Outcome: a prioritized AI roadmap with quantified business cases.
S.02
Production RAG over your knowledge, supervised and preference fine-tuning, distillation into smaller private models, prompt and context engineering, and inference cost optimization.
Outcome: a domain-tuned model or copilot with measured accuracy and cost per answer.
S.03
Agents and multi-agent workflows that use your tools and systems to execute real processes—bounded by permissions, approval gates, audit trails and human-in-the-loop controls.
Outcome: an agent workflow handling an agreed volume end-to-end, within policy.
S.04
Evaluation harnesses, hallucination and bias testing, jailbreak and prompt-injection red-teaming, guardrails, PII protection and production monitoring for LLM and agent systems.
Outcome: a release gate with agreed safety and quality thresholds.
S.05
Forecasting, classification, recommendation, pricing, fraud and anomaly detection, optimization and predictive maintenance—plus the pipelines, monitoring and retraining that keep models reliable.
Outcome: a monitored model in production hitting an agreed metric.
S.06
Image and video generation, computer vision, document understanding, speech and voice interfaces—tuned to your brand, your data and your latency budget.
Outcome: a multimodal feature shipped with measured quality and adoption.
S.07
Full-stack AI products from concept to launch—UX, models, data, infrastructure and analytics. The same team that shipped our four products builds yours.
Outcome: a launched AI product with agreed activation or revenue targets.
S.08
AI inventories, risk classification, EU AI Act and ISO 42001 readiness, model risk management, technical controls 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 — Every workflow
Our four products span consumer apps to industrial operations. The same disciplines—data, fine-tuning, evaluation, guardrails, deployment and monitoring—apply to whichever workflow you need to move.
AI that customers see and touch: generated imagery, try-ons, creative tools and conversational interfaces that have to feel instant, safe and on-brand.
IndustriesRetail · Fashion & beauty · Media · E-commerce · Gaming
Example workflow · one governed lifecycle
Models that learn each customer: recommendations, coaching, nudges and support assistants that lift retention without crossing privacy lines.
IndustriesHealth & wellness · Fintech · Education · Travel · Telecom
Example workflow · one governed lifecycle
Copilots and agents inside the back office—reading documents, drafting decisions and executing steps across your systems with approvals and a full audit trail.
IndustriesBanking · Insurance · Legal · Public sector · SaaS · Professional services
Example workflow · one governed lifecycle
Machine learning on sensors, images and schedules—predicting failures, inspecting quality and optimizing supply, energy and field work.
IndustriesManufacturing · Energy · Logistics · Mining · Utilities · Construction
Example workflow · one governed lifecycle
05 — Proof of work
Most consultancies show slide decks. We show products. Four platforms—two consumer, two enterprise—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.
06 — 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.
07 — Who we serve
The models change; the method doesn't. Wherever a workflow has data, decisions and a number worth moving, we can apply AI to it—a consumer app's conversion rate, a claims team's cycle time, a lender's loss rate or a plant's unplanned downtime.
08 — 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 consumer, enterprise and industrial AI.
Every engagement is scoped to end in production.
We say no when the outcome isn't achievable or measurable.
09 — 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