AI Transformation
AI Productivity Diagnosis
We analyze repetitive work across sales, finance, operations and support, then score AI automation potential in a concrete report.
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How should AI opportunities be prioritized?
Before investing in AI, you need to know where time is actually being lost — measured through a process map, not a guess. In this 1-2 week, fixed-fee diagnosis we map repetitive work across teams and separate what can safely be automated with AI from what should stay under human approval.
We score every opportunity on two axes: potential payback (time saved, error reduction) and implementation risk (data sensitivity, reversibility). High-payback, low-risk work goes on the quick-win list; higher-risk work goes into a more cautious roadmap — no recommendation is made without a risk assessment behind it.
Where we move you
Today
- AI opportunities rest on guesswork
- Unclear which process to automate first
- Risk and fit have not been assessed
After this service
- Process and workload map in hand
- Every opportunity scored for fit and risk
- Quick wins prioritized
How we work
Process and workload map
We turn this item into a concrete work package with owner, acceptance criteria and measurement point.
AI fit and risk score
We turn this item into a concrete work package with owner, acceptance criteria and measurement point.
Quick-win backlog
We turn this item into a concrete work package with owner, acceptance criteria and measurement point.
Investment prioritization report
We turn this item into a concrete work package with owner, acceptance criteria and measurement point.
AI opportunity + data readiness + ROI
Before turning an AI idea into a project, we measure where it will really pay off
AI investment is not just adding a chatbot. Repetitive work, decision delays, search time, document workload and data quality must be assessed together.
Research
How do we find AI productivity opportunities?
Generative AI value is strongest in customer operations, software development, sales, marketing, knowledge work and document-heavy processes.
$2.6-4.4T
Annual economic potential
McKinsey estimates trillion-dollar annual economic potential from generative AI use cases.
McKinsey, Economic Potential of Generative AI
75%
Value concentrated in key functions
McKinsey finds that most generative AI value is concentrated in customer operations, sales and marketing, software engineering and R&D.
McKinsey, Economic Potential of Generative AI
4 scores
Opportunity prioritization dimensions
Scoring AI opportunities by value, feasibility, data readiness and risk prevents low-value pilots.
Gartner, Hype Cycle for Agentic AI
Operating model
What we score in AI productivity diagnosis
The goal is not to say 'AI is possible'. The goal is to decide which use case goes first, which waits and which should not proceed because of risk.
Roadmap
From AI diagnosis to implementation
The diagnosis produces a prioritized portfolio with cost-benefit logic, data requirements and implementation order.
Week 1
Process and workload analysis
Repetitive work, document load, knowledge search and decision delays are mapped.
Week 2
Data and security check
Data sources, access rights, sensitive fields and model constraints are reviewed.
Week 3
Opportunity scoring
Each scenario is scored by value, technical difficulty, data readiness, risk and maintenance need.
Week 4
Pilot plan
The first 1-3 pilot use cases are proposed with KPIs, human review points and architecture options.
KPIs we track in AI productivity diagnosis
The AI opportunity by the numbers
$2.6-4.4T
Estimated annual economic potential of generative AI
Source: McKinsey
1-2 weeks
Typical diagnosis timeline
Frequently asked questions
Could the diagnosis conclude that we should not use AI?
Yes, and that is a valid outcome. Our goal is not to sell AI — it is to give you the data to make the right call.
How long does the diagnosis take and how is it priced?
It typically takes 1-2 weeks and is quoted as a fixed fee based on your organization's size.
Let's talk about this service
Tell us briefly what you need, and we'll scope the right approach together.