AI Productivity Sprint
Two to three weeks to a prioritised AI portfolio: 5–10 high-value use cases, each with ROI, risk, data readiness and a sequenced implementation roadmap.
What the AI Productivity Sprint does
Most AI programmes stall because the use-case list is generated by enthusiasm rather than economics. The AI Productivity Sprint replaces that list with a portfolio: 5–10 use cases scored on value, feasibility and data readiness, sequenced so the first release funds the next.
We work function by function — operations, finance and BPO, customer service, engineering, HR — mapping where hours are consumed, where error rates cost money, and where an AI-assisted workflow changes the unit economics rather than decorating the interface.
The output is decision-ready: an owner, an expected value, a risk and data-readiness rating, and a build-versus-buy call for every use case, with a 90-day sequence for the first wave.
What we cover
Workflow and time mapping
Where effort, rework and cycle time actually sit across the functions in scope.
Use-case generation
Candidate AI interventions drawn from observed workflows, not a generic industry catalogue.
Value and ROI modelling
Expected value per use case in hours, cost, throughput or revenue, with the assumptions exposed.
Data readiness assessment
What data exists, where it lives, what quality it is, and what must be fixed before build.
Risk and governance review
Model risk, privacy, IP, regulatory exposure and the human-in-the-loop design for each case.
Sequenced roadmap
A 90-day first wave and a 12-month sequence, with owners, dependencies and build/buy decisions.
What you receive
- Prioritised portfolio of 5–10 AI use cases with scored value, risk and readiness
- ROI model per use case with visible assumptions you can challenge
- Data readiness map and remediation list
- Build, buy or partner recommendation per use case
- 90-day implementation plan with named owners and success measures
- Executive readout pack for the board or investment committee
Who this sprint is built for
- Enterprises with AI pilots that have not converted into operating impact
- PE-backed companies asked for an AI plan by the investment committee
- Shared services and GCC leaders under a productivity mandate
- Functions carrying high-volume, rules-heavy manual work
Priced on the outcome, not the hour
The AI Productivity Sprint is scoped and agreed as a fixed fee before work begins, so there is no hourly exposure.
Larger programmes that follow use milestone gates — you can stop or continue at defined checkpoints — and gain-share options, where part of the fee depends on realised margin, cost or throughput improvement.
The rest of the sprint portfolio
- Margin Improvement SprintA quantified margin plan: practical EBITDA, cost and throughput levers across process waste, procurement, workforce, automation and offshore delivery.
- India Capability / GCC DiagnosticRedesign selected functions for lower cost, better scale and stronger governance — with a decision-ready view of what stays local, what moves to India, and how it is run.
- PE Portfolio Value CreationValue creation across the hold period — operational due diligence, 100-day quick wins, hold-period improvement, and exit readiness tied to the investment thesis.
AI Productivity Sprint — common questions
How long does the AI Productivity Sprint take?+
Two to three weeks from kickoff to executive readout, depending on the number of functions in scope and data access speed.
# Link to this answerWhat does the AI Productivity Sprint cost?+
It is a fixed-fee engagement priced on the outcome rather than hours. Scope — number of functions and sites — sets the fee, which is agreed before work starts.
# Link to this answerWhat do we get at the end?+
A prioritised portfolio of 5–10 use cases with ROI, risk and data-readiness ratings, a build/buy call for each, and a 90-day implementation plan with owners.
# Link to this answerDo you also build the solutions?+
Yes. The sprint is deliberately separable — you can implement internally, with your existing partners, or ask NirjiX to deliver the first wave under a managed delivery model.
# Link to this answerAI Productivity Sprint — questions answered in the NirjiX FAQ
Start the AI Productivity Sprint
Tell us the business problem and the numbers behind it. We will confirm scope, fee and timing before anything begins.
Explore related NirjiX capabilities
- NirjiX sprint offersFour fixed-fee diagnostics priced on outcomes: AI, margin, India capability and PE value creation.
- Technology & SaaS India expansionSector-native execution, regulatory pathways and talent depth for Technology & SaaS.
- Managed Operations & Scale in IndiaRun-state operations, governance, and continuous scale-up.
- India expansion solutionsThe full execution stack — entry, GCCs, manufacturing, workforce and managed operations.
- Margin Improvement SprintA quantified margin plan: practical EBITDA, cost and throughput levers across process waste, procurement, workforce, automation and offshore delivery.
- India Capability / GCC DiagnosticRedesign selected functions for lower cost, better scale and stronger governance — with a decision-ready view of what stays local, what moves to India, and how it is run.
- talk to the NirjiX operator deskBring a business case and we will tell you where the numbers break.