.svg&w=256&q=75){kind=small}
Services
Outcome-based AI transformation, delivered in twelve-week cycles.
Four problem domains. Named senior experts orchestrating AI agents. Outcome-staked terms your stakeholders can verify. AI transformation with skin in the game.
No obligation. We pick up.
What we do
Four problem domains.
Industry agnostic.
Clients hire us on one domain and discover they have the other three. Each domain runs on the same operating system: twelve-week cycles, named senior experts orchestrating AI agents, outcomes signed off by your stakeholders.
01
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, and convert AI strategy into a value-accounted portfolio: outcome and revenue tracked per use case, visible to your CFO. AI capability compounds quarter over quarter instead of decaying after the demo.
Where we engage. AI center-of-excellence redesign, agentic execution on existing workflows, decision-assist deployments, model governance and observability.
See AI Operationalization →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 Supply Chain and Fulfillment Transformation →03
Agentic Workflow Execution
Order-to-cash, S&OP, contracts, service operations, and the sales and revenue workflows that move money through the enterprise.
AI agents that close the loop on the workflows that move money: order-to-cash, procure-to-pay, S&OP, contracts and quote-to-cash, sales enablement, and agentic service resolution. Not chatbots over forms. Not RPA with a coat of GenAI paint. Agents that take action, lift revenue and cash velocity, audit themselves, and hand off to a named human at the moments that matter.
Where we engage. Order-to-cash and quote-to-cash automation, S&OP decision-assist, contract intelligence, sales and revenue workflows, agentic service resolution, service-desk and escalation management.
See Agentic Workflow Execution →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, service-exception cost reduction, and 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 and service-cost reduction, resilience playbooks.
See Operational Resilience →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. Steps S1, S2, S3 run through Mobilization, Build & Deploy, and Verification.
The cycle
Twelve weeks.
Three steps. One verified outcome.
Every cycle ships value the client can verify. The outcome is measured against 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).
Step 1
Week 0 to 2
Mobilization
Pod named in the SOW. Value baseline locked, approved by your stakeholders. Architecture and harness configured.
Step 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.
Step 3
Week 10 to 12
Verification
Your stakeholders sign off on Value Created against the Approved Value Baseline. The outcome is verified before the next cycle begins.
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
Value-Based Fees
Fees tied to the value we deliver, measured against a baseline your Finance organization approves. Not the hours spent.
- 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
You see who does what, and what it costs, at all times. No black-box seat count.
- 05
Named Senior Experts
The senior experts in the pitch are the people on the project. Named on the SOW, substitutions need client sign-off.
- 06
Auditable by Design
Every request, decision, and result on the ledger. Governed, traceable execution you can hand to audit.
- 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 cycle 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...
.png)
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.
Frequently asked questions