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Future Works and Infosys
Two ways to run an AI transformation. Looking for an Infosys alternative for AI transformation? Infosys 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.
No obligation. We pick up.
The honest framing
Two different jobs. Pick the one you actually have.
When Infosys fits
A global IT services firm like Infosys is built for digital modernization and enterprise platform migrations. If the job is a multi-year cloud migration, a legacy application modernization program, or a cost-optimization engagement that needs 320,000+ people on tap, Infosys's delivery model and Topaz AI platform fit. For large-scale platform consolidation across global operations, that engineering depth is valuable.
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.
Infosys
A global IT services firm built on digital modernization and large-scale outsourcing. Infosys runs application development, cloud migration, and enterprise platform programs through its global delivery model.
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.
Infosys
Scaled through Infosys's global delivery centers across onshore and offshore locations. Staffing follows a pyramid: onshore architects and PMs, offshore development and testing teams.
Speed and cycle
Future Works
Verified value in twelve weeks. Shipped workflows and a stakeholder-signed KPI delta inside the first quarter, then compound.
Infosys
Multi-year digital modernization and platform migration programs. Infosys's AI-powered delivery (Infosys Topaz) accelerates existing engagement models but cycle times remain quarterly to annual.
Commercial model
Future Works
Outcome-staked fees, a Free Until Value pilot, and a transparent named-resource plan. Risk is shared.
Infosys
Large managed services contracts, T&M engagements, and fixed-bid delivery. Infosys's commercial model favors multi-year cost optimization and platform modernization deals.
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.
Infosys
Accountability tied to platform SLAs, migration milestones, and managed services KPIs. Risk is governed through traditional PMO structures and escalation paths.
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.
Infosys
AI is positioned through Infosys Topaz, their generative AI platform. It layers AI onto existing digital services and enterprise modernization work rather than operating as an AI-first transformation engine.
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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