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Future Works and Capgemini
Two ways to run an AI transformation. Looking for a Capgemini alternative for AI transformation? Capgemini is a large global IT services and consulting firm built to staff massive, multi-year programs across broad scope. Future Works is an AI-native, outcome-staked engine built for speed to value: AI agents in production on twelve-week cycles, shipping into the parts of the business that change the P&L, with the gain verified by your ROI-approving stakeholders inside the first quarter. This page lays out where each model fits, fairly.
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The honest framing
Two different jobs. Pick the one you actually have.
When Capgemini fits
A global IT services firm like Capgemini is built for large-scale application management and technology transformation. If the job is a multi-year SAP migration, a managed services engagement across European operations, or a cloud transformation that needs deep engineering capacity at scale, Capgemini's 420,000+ person delivery engine and European heritage fit. For automotive or industrial IoT programs that span years, that reach is real.
When Future Works fits
If there is no time to lose, that is us. A program of this scale can take months to mobilize and a year or more to show results; we put AI agents into production and verify value against a stakeholder-signed baseline inside twelve weeks. We do not sell infrastructure; we deliver a service that fixes operations. The work is fixed-scope, the resources are named, and the commercial terms share the risk. It is the engine for a measurable result this quarter, not a multi-year program.
The velocity is a quality lever, not a trade-off. More iteration and more insight in the same window mean sharper deliverables, not just faster ones.
Side by side
How the two models differ.
The contrast is about model and approach, not a scorecard. A large systems integrator and an AI-native engine are built for different shapes of work. Here is how Future Works compares to a typical large-SI engagement across the dimensions a buyer weighs.
Delivery model
Future Works
An AI-native service that operationalizes AI inside live operations. We do not sell infrastructure; we deliver the operating outcome.
Capgemini
A global IT services and consulting firm with deep engineering roots in Europe. Capgemini runs large application management and technology transformation programs, often with strong SAP and cloud partnerships.
Team
Future Works
No pyramid. AI agents do the production work; named senior experts direct them and sign for the outcome. The people on the plan are the people in the room.
Capgemini
Blended onshore-offshore teams scaled through global delivery centers. Capgemini's engineering heritage means strong technical depth in application development and cloud infrastructure.
Speed and cycle
Future Works
Verified value in twelve weeks. Shipped workflows and a stakeholder-signed KPI delta inside the first quarter, then compound.
Capgemini
Multi-year managed services and transformation programs. Capgemini's Intelligent Industry framework targets manufacturing and automotive, but mobilization and value realization span quarters to years.
Commercial model
Future Works
Outcome-staked fees, a Free Until Value pilot, and a transparent named-resource plan. Risk is shared.
Capgemini
Long-term managed services contracts, T&M delivery, and outcome-based deals for select engagements. Capgemini's commercial model favors multi-year relationships over short cycle work.
Risk and accountability
Future Works
ROI or We Pay: a portion of the fee is staked on validated outcomes, with twelve months of hypercare after a cycle ships.
Capgemini
Accountability tied to service-level agreements and program deliverables. Managed services contracts share operational risk; project work follows milestone governance.
AI posture
Future Works
Agentic at the core: AI agents own the volume in production workflows, instrumented against a baseline your stakeholders sign. The humans are senior and accountable for the number.
Capgemini
AI is delivered through Capgemini's Intelligent Industry and cloud practices. Their strength is connecting AI to industrial IoT and cloud transformation, not standalone AI operationalization.
Commitments
Four contractual commitments,
live in every cycle.
The contrast with a large program is not just speed. It is who carries the risk. These commitments are written into how Future Works engages, so the outcome is shared rather than billed by the hour.
- 01
ROI or We Pay
A portion of every cycle's fee is staked on validated outcomes against an Approved Value Baseline. The speed of payback is our risk too, not just yours.
- 02
Free Until Value Pilot
A proof-of-value pilot you pay for only at a production-grade outcome, so the work proves itself on your real operation before it costs you.
- 03
Transparent Resource Plan
Named senior experts on the SOW. Substitutions need your sign-off. No labor pyramid, no juniors learning on your operation, no black box.
- 04
12 Month Hypercare
A full year of hypercare after a cycle ships. The agents and instrumentation keep working as the business changes, with us on the hook for the outcome.
Proof
AI operationalized at Fortune 100 scale.
We have stood up instrumented operations and shipped production AI inside asset-heavy operators across real-world industries. The mechanism is the same on every engagement: a named pod, agents owning the volume, and a baseline your stakeholders sign.
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Direct line
See the engine on your operation.
Twenty-five minute call. A Cycle 1 sketch tied to the operation, KPIs, and P&L levers in front of you right now. Baseline mechanics, cycle scope, the fastest-payback levers. No slides, no obligation.
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