Pure Technology
AI Strategy & Consulting

AI strategy that survives contact with reality.

A 2–6 week diagnostic that turns AI ambition into a sequenced, measurable roadmap — with the unit economics, risks, and success metrics already worked out.

60+
Strategy engagements
$2.4M
Avg. value identified
4 wks
Typical timeline
CIO-grade
Output quality
Outcomes that matter

Numbers from real engagements.

$8.7M
Annual value mapped

Strategy engagement for a top-5 Indian bank identified 14 prioritized AI use cases.

3
POCs killed early

Saved a healthcare client from sinking budget into low-ROI gen-AI initiatives.

12 wks
Strategy to first ship

From signed engagement to a production AI workload, across our last 6 strategy deals.

Built for teams that need this to just work.

Who this is for

  • CIOs and Chief AI Officers needing a board-ready AI strategy.
  • Product leaders with too many AI ideas and not enough sequencing logic.
  • Companies whose AI POCs aren't converting to production.
  • PE-backed firms developing AI strategies across portfolio companies.
What we deliver

A full-stack capability - not a job title.

Every engagement is led by senior practitioners. You meet them in the pitch; they ship the work.

AI opportunity sizing

Where AI moves the metric, where it's a distraction, and what the realistic ROI window looks like.

Use-case prioritization

Scored backlog by value, feasibility, data readiness, and risk — sequenced into a 12-month plan.

Data & platform readiness

Honest assessment of whether your data, infra, and team can support the AI you want to build.

Build vs. buy analysis

Per use case — open vs. closed models, in-house vs. vendor, with TCO modeling.

Governance & risk

AI governance frameworks aligned to EU AI Act, NIST AI RMF, and your sector regulators.

Org & capability planning

Team design, hiring plan, training program, and operating model for AI at scale.

Related case studies

Proof from similar work.

A few relevant engagements that match this service area.

Global Financial Institution
Banking & Financial Services (BFSI)
Case study

Global Financial Institution

Challenge — AI fraud detection system achieved 80% faster response time with 100% operational speed on bank statement verification.

What we did — Built a scalable intelligent system detecting fraud in both scanned and digital bank statements. Transformed manual verification into aspeed forensic operation by combining vision-based checks with analysis, defending against digital tampering while accelerating operational workflows.

80%
time improvement
30%
Faster decision
100%
Operational speed
KPI Dashboard for Manufacturing
Tire Manufacturing
Case study

KPI Dashboard for Manufacturing

Challenge — Power BI KPI Dashboard boosted production efficiency by 20% and delivered 40% faster reporting.

What we did — Developed a centralized Power BI-based KPI Dashboard integrating SQL Server data aggregation, AI-powered defect trend analysis, and predictive analytics for power consumption. Enables real-time plant management insights — reducing wastage, accelerating decisions, and improving resource utilization.

20%
Increase in Production
40%
Faster Reporting Dashboards
35%
Improvement in Resource Utilization
TMA usage monitoring
Tire Manufacturing
Case study

TMA usage monitoring

Challenge — Power BI and AI-driven TMA project cut reporting time by 60% and boosted data accuracy by 40%.

What we did — Built a smart TMA usage monitoring solution powered by automated Power BI dashboards, structured data validation, and AI/ML predictive analytics. Replaces manual reporting with real-time insights — reducing material wastage, cutting IT dependency, and enabling proactive, data-driven decision-making.

60%
Reduction in Reporting Time
40%
Increase in Data Accuracy
25%
Reduction in IT Support
How we work

A repeatable path, every time.

1

Discover

Stakeholder interviews, data inventory, capability audit, and competitive scan.

2

Frame

Use case longlist, scoring rubric, and prioritization workshop with the executive team.

3

Sequence

12-month roadmap with milestones, dependencies, and a defined success metric per initiative.

4

Mobilize

Either hand off to your team or transition into delivery with our AI engineering pods.

FAQ

The questions we hear most.

Do we have to commit to delivery with you afterwards?+

No — strategy and delivery are separately commercially negotiated. Many clients hand off to their own teams.

Is this just a slide deck?+

No — every engagement includes prototype work, data audits, and a defensible TCO model alongside the deck.

Who runs the engagement?+

A senior AI strategist with 10+ years building production AI — backed by domain analysts in your sector.

Related services

Most engagements span more than one practice.

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Ready to scope this in detail?

A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.