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Services
Enterprise AI transformation, delivered in twelve-week cycles.
Five problem domains. Named senior experts orchestrating AI agents. Outcome-staked terms your stakeholders can verify. We are the AI-native transformation engine for asset-heavy operators.
No obligation. We pick up.
What we do
Five problem domains.
Industry agnostic.
Clients hire us on one domain and discover they have the other four. Each domain runs on the same operating system: twelve-week cycles, named senior experts orchestrating AI agents, outcomes signed off by your stakeholders.
01
Enterprise AI Operationalization
Move AI out of pilots into the parts of the business that change the P&L.
Pilots succeed easily. Production rollouts stall. We rebuild the operating model around AI agents working alongside named senior experts, so AI capability compounds quarter over quarter instead of decaying after the demo. From scattered experiments to operating capability.
Where we engage. AI center-of-excellence redesign, agentic execution on existing workflows, decision-assist deployments, model governance and observability.
See Applied AI Intelligence →02
Supply Chain and Fulfillment Transformation
Allocation logic that responds to demand. Freight discipline that defends margin. SKU rationalization that releases working capital.
The pattern we hold across industrial supply chain clients: a value baseline approved by your operating stakeholders in Week 2, value shipped by Week 12, the next cycle running by Week 13. We ship fulfillment digital twins, demand sensing systems, and allocation engines that pay for themselves inside the cycle they were built in.
Where we engage. Allocation systems, freight optimization, demand sensing, fulfillment digital twins, inventory and SLOB management.
See Digital Products →03
Agentic Execution of Enterprise Workflows
Order-to-cash, procure-to-pay, S&OP, contracts and quote-to-cash.
AI agents that close the loop on the workflows that move money through the enterprise. Not chatbots over forms. Not RPA with a coat of GenAI paint. Agents that take action, audit themselves, and hand off to a named human at the moments that matter.
Where we engage. Order management agents, S&OP decision-assist, contract intelligence, quote-to-cash automation, customer experience and service operations.
See Intelligent Systems Integration →04
Operational Resilience and Working Capital
Margin and freight protection. Inventory and SLOB reduction. Working capital release.
When the macro turns, this is the domain that pays back fastest. We have shipped working-capital outcomes inside Cycle 1 at Fortune 100 scale. The mechanism is agentic exception management plus tight SKU and inventory discipline, locked against an approved baseline so the right exec signs off on the savings as they land.
Where we engage. Margin protection programs, working capital release, SLOB inventory reduction, exception cost reduction, resilience playbooks.
See Operational Resilience →05
Customer Experience and Service Operations
Agentic resolution. Exception and escalation management. CSAT up, cost-to-serve down.
Customer-facing AI agents that resolve and deflect, with named human escalation at the moments that matter. We lift first-contact resolution and CSAT while compressing cost per ticket, all verified against an Approved Value Baseline. Where Agentic Execution runs the internal workflows that move money, this domain runs the customer-facing operations that protect revenue.
Where we engage. Agentic resolution and deflection, service-desk and contact-center operations, exception and escalation management, voice-of-customer and CSAT instrumentation, knowledge and self-service automation.
See Customer Experience →How we work
Named senior experts.
AI agents on the line.
Every engagement is delivered by a small cell of senior named experts, each orchestrating a fleet of high-accuracy AI agents on our own proprietary harnesses. The experts do the design, judgment, and validation. The agents do the labor.
Substitutions require client sign-off. Names appear in the SOW. No labor pyramid. No bait-and-switch. The same people who scope the engagement deliver it and sign off on it.
That structure is what makes twelve-week cycles and outcome-staked fees economically viable. A senior expert plus a fleet of agents ships multiples faster than a senior-plus-juniors team and at a cost structure that tolerates outcome staking.
Meet the team behind the work →Inside the pod
Lead Architect
Cycle design and judgment
Principal Engineer
Production build and validation
Data Steward
Canonical schema and governance
Outcome Owner
Approved Value Baseline tracking
Each named expert orchestrates 6+ high-accuracy AI agents on FW harnesses. Tranches T1, T2, T3 release on Mobilization, Build & Deploy, and Verification.
The cycle
Twelve weeks.
Three tranches. One verified outcome.
Every cycle ships value the client can verify. The final tranche is contingent on an Approved Value Baseline locked in Week 2 by your ROI-approving stakeholders. Programs run as multi-cycle engagements, so procurement compresses against an SI baseline (eighteen months at one Fortune 100 anchor; signed in under six).
Tranche 1
Week 0 to 2
Mobilization
Pod named in the SOW. Value baseline locked, approved by your stakeholders. Architecture and harness configured. Tranche 1 fee paid on SOW signature.
Tranche 2
Week 2 to 9
Build and Deploy
Senior experts orchestrate AI agents on production workflows. Validation and correction loops run continuously against the Week 2 baseline. Tranche 2 fee paid on build completion.
Tranche 3
Week 10 to 12
Verification
Your stakeholders sign off on Value Created against the Approved Value Baseline. Tranche 3 fee is conditional. Service Credit if below target, full fee at target, Overdrive Bonus on home runs.
Our commitments
Seven outcome-staked commitments.
Each one a clause.
Each counter-move inverts a specific way the systems-integrator tier extracts margin from clients on time-and-materials programs. None of them are aspirational. All of them are clauses you can read in our SOW.
- 01
ROI or We Pay
A portion of every cycle's fee is staked on validated outcomes against the Approved Value Baseline.
- 02
Sub-12-week phases
Every phase ships in under twelve weeks. Velocity is contractually committed, not aspirational.
- 03
Change-Order-Free Sprints
Fixed-fee scopes. Overruns come from Future Works margin, not from your budget.
- 04
Transparent Resource Plan
Named senior experts on the contract. Substitutions need client sign-off.
- 05
Free Until Value Pilot
Secure thirty-day proof-of-value pilot. Client pays only at production-grade outcome.
- 06
12 Month Hypercare
Embedded support after go-live, at no extra cost, during the Continuous Optimization phase.
- 07
Vendor-Agnostic Architecture
Open standards, multi-cloud, tooling follows the design rather than a sales quota.
Who we serve
Enterprise and large mid-market.
Defined by displaced SI wallet share.
Half our work is enterprise, half is large mid-market. No startups. We are defined by the SI wallet share we displace, not by company size. Primary buyers: CIO, Chief AI Officer, Chief Supply Chain Officer, or a Chief Innovation or Transformation Officer. Your ROI-approving stakeholders sign off on the value baseline the outcome-staked tranche runs against. At smaller orgs that may be the CFO; at large enterprises it is more often a finance lead, business-unit controller, or the COO whose number the program moves.
The accounts we close share three traits: a real P&L problem the AI can move, an executive willing to sign for outcomes, and an operator-level champion who has been waiting for someone to actually ship.
Proof
Verified at Fortune 100 scale.
Trusted by teams at...
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How we unlocked a 3x+ return challenge in 12 weeks for Philips, then a cascading wave of AI transformation across the business.
End-to-end value and maturity mapping in Week 2 organized P&L impact across processes, technology, and operating model. Cycle 1 shipped working-capital and freight outcomes, signed off by Philips Finance against the Approved Value Baseline. The ROI funded Cycle 2; Cycle 2 funded the next cycle. A self-funding wave of AI transformation compounding through the fabric of the business.
Direct line
Pick a cycle to talk about.
- 01Operationalizing AI past the pilot stage.
- 02Compressing a twelve-month transformation into three twelve-week cycles.
- 03Staking part of our fee on a stakeholder-approved value baseline.
No obligation. We pick up.
Frequently asked questions