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Compare
Future Works, compared fairly
Three kinds of firm compete for an AI transformation budget: strategy consultancies, the Big 4, and the large systems integrators. Future Works is a fourth kind. You see verified value in twelve weeks, not after a year of mobilization: AI agents do the production work on outcome-staked cycles, and senior experts answer for the number. Below is how that model compares to each firm, laid out fairly so you can pick the one that fits the job you actually have.
Strategy consultancies
Upstream of us, not against us.
Strategy firms answer what to do and why. We are the execution engine for what comes after: converting an approved value case into a changed operation, with fees staked to the number the strategy promised. Their pages sit beside the rest of the cluster, but the relationship is different: their work is our input, not our competition.
Future Works and McKinsey
Strategy upstream, execution downstream
McKinsey builds the case for change; QuantumBlack adds AI advisory depth. Future Works is the execution engine that turns an approved strategy into production AI on outcome-staked cycles.
Read the full comparison →Future Works and BCG
The play, then the production system
BCG frames the play and BCG X builds alongside strategy teams. Future Works runs the twelve-week cycles that make the play operational, with fees staked to the outcome.
Read the full comparison →Future Works and Bain
A value agenda, shipped
Bain sets the value agenda with a results discipline we recognize. Future Works converts that agenda into shipped operations, with fees tied to the same number.
Read the full comparison →The Big 4
Governance depth or shipped outcomes.
The Big 4 bring assurance heritage, risk depth, and advisory coverage in one relationship. Future Works brings a different trade: agents in production inside a quarter and commercial terms that share the risk. Where each fits, firm by firm.
Future Works and PwC
Big 4 coverage or shipped outcomes
Audit heritage, risk depth, and advisory in one relationship. Future Works is agentic at the core: AI agents do the production work; senior experts own the number.
Read the full comparison →Future Works and Deloitte
Strategy heritage or production AI
A strategy and advisory powerhouse with deep industry practices. Future Works leads with production AI: agents in the workflow, value baselined in week two.
Read the full comparison →Future Works and EY
Two motions or one accountable team
EY-Parthenon builds the case; EY Consulting delivers the program. Future Works collapses the handoff: the team that scopes the value is the team that ships it.
Read the full comparison →Future Works and KPMG
Governance-first or ship-first
KPMG leads with trust: risk, regulatory, and AI governance frameworks. Future Works ships governed systems from week one and lets the evidence accumulate.
Read the full comparison →IT services and systems integrators
Program scale or outcome-staked cycles.
The large SIs staff massive programs on multi-year timelines, and at that job their scale is real. Future Works runs the other shape: twelve-week, outcome-staked cycles that put AI agents into the specific operations that move the P&L. Eight comparisons, one honest question: which model fits?
Future Works and Accenture
Global scale or outcome-staked speed
Nearly 800,000 employees serving clients in 120+ countries. Built for massive, multi-year programs. Future Works ships verified value in twelve-week outcome cycles.
Read the full comparison →Future Works and IBM Consulting
Platform gravity or vendor-agnostic delivery
The services arm of a technology company, next to watsonx and Red Hat. Future Works is vendor-agnostic: agents composed around the stack you already run.
Read the full comparison →Future Works and Capgemini
Intelligent industry or P&L-staked service
Capgemini Intelligent Industry targets smart factory and supply chain at 420,000+ scale. Future Works is an outcome-staked service for the operations that move the P&L.
Read the full comparison →Future Works and Cognizant
Platform play or operating outcome
Cognizant Neuro is their AI and analytics platform. Future Works does not sell a platform; we deliver an operating outcome using agents on our own harnesses.
Read the full comparison →Future Works and TCS
Enterprise automation or AI-native cycles
Machine First and 600,000+ consultants driving enterprise-scale automation. Future Works is smaller, faster, and staked: value verified by your finance lead inside a quarter.
Read the full comparison →Future Works and Wipro
Managed services or outcome-staked delivery
FullStride Cloud and enterprise IT services at 230,000+ scale. Future Works is outcome-staked: you pay for the result, not the hours or the headcount.
Read the full comparison →Future Works and Infosys
AI practice or AI-native engine
Infosys Topaz is an AI-first offering inside a 320,000+ person company. Future Works is an AI-native engine: agents at the core, not a practice inside a conglomerate.
Read the full comparison →Future Works and HCLTech
Run the estate or change the P&L
Engineering heritage and 220,000+ people built to run enterprise IT estates. Future Works changes what the operation produces, then leaves you owning the result.
Read the full comparison →The structural difference
Faster to value,
and leaner by design.
Every firm on this page has added AI to its delivery model. Future Works was built the other way around: the delivery engine is AI agents, and the consulting sits on top. That inversion shows up three ways. You reach value sooner, the work is senior-directed and verified, and you fund outcomes instead of a labor pyramid.
Faster to value
Every engagement is a fixed twelve-week cycle. Value is baselined in week two and verified at cycle close by your ROI-approving stakeholders. You see a result in a quarter, not after a year of mobilization.
Sharper by iteration
Higher velocity raises quality, it does not trade against it. Agent speed buys more iteration and more insight in the window a traditional program spends mobilizing, so the deliverable is sharper by the time it ships. Senior experts direct the work and sign for the outcome.
Leaner economics
You fund outcomes and the agents doing the work, not a labor pyramid billing by the hour. An AI-native engine runs leaner, and the first cycle is value-based, so the work proves itself before it scales.
Proof
AI operationalized at Fortune 100 scale.
We have stood up instrumented operations and shipped production AI 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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