Know Which AI Use Cases Pay Back,Before You Build.
In four weeks, our team maps your highest-volume work, scores each use case on value, data readiness and risk, and prototypes the strongest one on your own documents. You leave with a roadmap and a business case your finance, security and compliance leads can sign.
- ELEngagement lead
- FEForward-deployed engineer
- DEDomain expert
- DAData architect
- A ranked use-case portfolio
- A baseline of hours, cost and cycle time
- A working prototype on your data
- A 90-day pilot plan and business case
Most AI Budgets Go to the Wrong First Use Case
Teams pick what demos well, not what pays back. Four weeks of scoring on real data prevents a year on the wrong project.
of AI proofs of concept were scrapped before production at the average company.
How we fix itWe score every candidate on value, data readiness and risk before anyone builds.
Source: S&P Global Market Intelligence, 2025of generative AI projects were expected to be abandoned after proof of concept by the end of 2025.
How we fix itYour own reviewers grade the prototype, so the go or no-go decision rests on evidence.
Source: Gartner, July 2024of the thousands of vendors selling agentic AI offer real agentic capability, Gartner estimates.
How we fix itOur scoring is platform-neutral, so the roadmap ranks your value, not a vendor’s pitch.
Source: Gartner, June 2025A Portfolio Ranked by Payback, Not Hype
Most AI programs stall on the wrong first use case. We find the work with the volume, the data and the risk profile to pay back first.
Stakeholder Interviews
Short sessions with the people who do the work, approve it and audit it, to find where the time actually goes.
Baseline Measurement
Volume, hours, cycle time, error rates and cost for each candidate process, taken from your systems where possible.
Data Readiness Review
Where the documents and records live, what shape they are in, and which access and redaction rules apply.
Risk and Compliance Screen
Each use case checked against your regulatory, privacy and security obligations before anyone builds.
Working Prototype
The top use case built on a sample of your own documents, so leaders see results, not slides.
Business Case
Expected savings, costs and payback period for each use case, with every assumption written down.
Four Weeks From Kickoff to Decision
- Week 11
Discover
Interviews, process walk-throughs and a long list of candidate use cases.
- Week 22
Baseline and Score
Volume and hours measured. Each use case scored on value, data readiness and risk.
- Weeks 3–43
Prototype
The top-ranked use case built on a sample of your documents and tested with your reviewers.
- Week 44
Roadmap
The ranked roadmap, business case and 90-day pilot plan presented to your sponsors.
Size the Prize Before You Build
Estimate the return of your top candidate. The assessment replaces every assumption here with measured numbers.
- Baseline measured in week one, from your systems
- Hours, cycle time, cost and quality reported monthly
- Every assumption written down and signed off
What You Keep
Everything is yours, whether or not you continue with us.
Delivered at the end of week four
- A ranked portfolio of use cases, scored on value, data readiness and risk
- A measured baseline of volume, hours, cycle time and cost
- A working prototype on a sample of your own documents
- A data readiness report with access, quality and redaction findings
- A risk and compliance screen for each shortlisted use case
- A business case with savings, costs and payback period
- A 90-day pilot plan with scope, team, success measures and acceptance tests
How We Keep It Honest
An assessment is only useful if it can say no.
Measured, Not Estimated
Baselines come from your systems and your people, and every assumption is written down.
We Will Tell You to Wait
If the data or the process is not ready, the roadmap says so, with what to fix first.
Platform-Neutral Scoring
Use cases are ranked on your value and risk, not on what is easiest for us to sell.
Your Data Stays Put
The prototype runs in your environment or a dedicated workspace, and your data never trains a model.
Your Experts Decide
Your reviewers grade the prototype output, and their verdict goes in the report.
Fixed Price
Scope and price are agreed at kickoff, with no change orders for the assessment.
Related Modules
The platform modules these solutions are built on.
Other Services
Frequently Asked Questions
Common questions about ThinkTrends AI Readiness Assessment.
What is an AI readiness assessment?
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An AI readiness assessment is a short, fixed-scope engagement that identifies which processes are worth automating with AI, measures what they cost today, checks data and compliance readiness, and produces a ranked roadmap. ThinkTrends runs it in four weeks and includes a working prototype on your own documents.
How do we choose the first AI use case to automate?
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Choose a process with high volume, written rules, documents you can access and a reviewer who can judge the output. The ThinkTrends AI Readiness Assessment scores each candidate on value, data readiness and risk, then prototypes the top one on your own documents, so the choice rests on measured results.
How much does an AI readiness assessment cost?
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The ThinkTrends AI Readiness Assessment is a fixed fee agreed at kickoff, based on the number of processes and data sources in scope. There are no change orders during the four weeks, and you keep every deliverable whether or not you continue with ThinkTrends.
How long does the ThinkTrends AI Readiness Assessment take?
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Four weeks from kickoff. Week one is discovery, week two is baselining and scoring, and weeks three and four cover the prototype and the roadmap presentation.
What do we need to provide?
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A sponsor, two to four hours a week from the people who do and review the work, read access to a sample of documents or records, and your security and compliance requirements. We handle the rest.
Is the assessment tied to buying ThinkStack?
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No. The scoring is platform-neutral and you keep every deliverable. The prototype runs on ThinkStack because it is the fastest way to show results on your own documents.