AI maturity assessment

Know where your AI program stands, and what to fund next.

Metacto assesses where your AI program stands and turns scattered activity into a roadmap to the workflows worth funding.

Schedule an AI Maturity Assessment

See where your AI program stands, and the first workflow worth funding.

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20+ years building production software. 100+ products shipped.

Trusted by operators at PE-backed and mid-market companies

5.0 on Clutch
The maturity gap

AI access is not AI maturity.

Claude, Copilot, ChatGPT, and dashboards can increase activity without creating capability. Maturity means the business knows which workflows should change, who owns the metric, and how impact will be measured.

88%
use AI in at least one business function — near-universal adoption
20%
capture 74% of AI’s economic value — value is concentrated
5%
see measurable P&L impact — almost no bottom-line return

Sources: McKinsey, The State of AI 2026 · PwC, 2026 AI Performance Study · MIT Project NANDA, GenAI Divide 2025

See where you land
AI maturity

From AI access to measured impact.

Most teams are early on this ladder. The point of the assessment is to place you honestly, then show the next rung worth funding.

Most teams stall at activity. Metacto moves you to measured impact.

The maturity questions that matter:

  • Which workflow should change first?
  • Who owns the business metric?
  • What is the baseline today?
  • How do we avoid a science project?
Where AI pays back

Where AI moves business value.

Revenue

Sharper qualification, faster follow-up, better conversion.

Margin & cost

Less manual review, fewer repeats, lower cost per output.

Speed

Shorter cycle times, faster approvals and reporting.

Quality

More consistent decisions, fewer errors and rework.

Risk & compliance

Earlier exception detection, clearer audit trails.

Find where AI can move a number
Baseline

Maturity becomes useful when it points to a number.

A maturity score is only worth something if it leads to a workflow and a metric. Every leading metric ladders up to one of the five values the business runs on: revenue, margin, speed, quality, risk.

A leading metric that moves now, tagged with the value it ladders up to.

Revenue
Win rate 18% → 23% +5 pts
Margin
Cost per output $48 → $26 −46%
Speed
Cycle time 31d → 12d −61%
Quality
Rework rate 9% → 3% −67%
Risk
Missed exceptions 6 → 1 −83%

Illustrative. Every engagement measures the real baseline first.

We define, before any build:

  • The leading metric, and the value it rolls up to
  • The baseline today, and what the gap costs
  • The build / no-build threshold
The baseline is the business case.
Map your baseline
Demo vs. business case

The demo is not the business case.

A great demo is the easy 5%. Metacto builds the other 95% that makes AI pay back in production.

The demo 5% Model capability, a chat interface, a prototype workflow, demo data. The part you've already seen.

The Production System · 95%

  • Business context So the system understands how your business actually works.
  • Source-of-truth data So answers are grounded in real records, not guesses.
  • Role-based access So people only see and do what they should.
  • Rules & exceptions So the system respects policy and the edge cases.
  • Approval paths So the right actions wait for a human.
  • Human review So judgment stays with your team.
  • Write-backs So results land in the systems work already runs on.
  • Logs & audit trails So leaders can see what happened and why.
  • Monitoring & cost So errors, latency, usage, and spend stay visible.
  • Adoption & ownership So the workflow is used, and owned, after launch.
  • ROI measurement So business impact is tracked, not assumed.
Pressure-test your AI business case
Proof

Maturity, in progression.

Education · Scholarship access

Manual work, rebuilt as a platform, then an agentic layer, with measured output.

Metacto moved Securing Degrees from spreadsheets and manual research to a purpose-built platform, then layered an agentic workflow that searches, enriches, qualifies, and creates records, with admins in the loop. Access to activity to measured impact.

Enterprise impact  ·  Revenue · Quality · Speed

“My results weren't diluted with technology. Being tech-enabled lets me see what's going on, and that transparency builds trust.”

Founder, Securing Degrees
$7.8M

in verified private scholarship wins, across fewer than 400 active students

  • 3,000 applications started on the platform
  • 60%+ of started applications reach submission
  • 80%+ of edited essays convert to wins
More in production
Marketing agency

Lead & deal agents for RevOps

$1.4M added pipeline

17% → 22% win rate

Revenue · Speed

Construction payroll

Embedded compliance copilot

$320K annual capacity recovered

1.67× analyst output

Risk · Margin

Request the case studies
Process

From scattered AI to one funded workflow.

Start with a number worth changing. Then build the system to change it.

01 · Find the value

Opportunity Map

You get Ranked opportunities and a recommended first workflow.

02 · Build the context

Context Layer

You get Data, rules, access, and a measurement plan.

03 · Ship AI

Agentic workflow

You get A live workflow with human review and integrations.

04 · Measure & expand

Continuous AI Ops

You get ROI reporting and an expansion roadmap.

Decision packet

Built so the whole team can say yes.

Sponsor, operator, and IT each get what they need to decide.

Sponsor

For the sponsor

What to fund, the expected ROI, and who owns the metric.

Operator

For the operator

What changes, what stays human, and where exceptions go.

IT & security

For IT & security

Systems touched, data used, and the controls required.

One assessment, one decision the whole team can get behind.
Fit

Is this right for your team?

A fit when
  • AI tools are in use, but adoption and impact are unclear
  • Leadership wants structure, not more experiments
  • A manual workflow is capping revenue, margin, speed, quality, or risk
  • An executive will own the outcome
  • You want a roadmap that points to a funded workflow
Not a fit if
  • You only want a prompt workshop
  • You want a one-off prototype, no owner
  • You're not ready to measure the baseline
  • No one owns the business outcome

Questions before you start.

What does the maturity assessment include?

A read on AI maturity across workflows, data, tools, governance, and adoption, plus a ranked AI Opportunity Map and the first workflow worth funding with a baseline and ROI hypothesis.

How is this different from an AI strategy workshop?

A workshop produces ideas. The assessment produces a prioritized roadmap tied to a metric and a build / no-build call, so the output is fundable, not just interesting.

Do we need mature AI usage already?

No. Teams with scattered tools and unclear impact are exactly who this is for. The assessment places you honestly and shows the next rung.

What do we get at the end?

An AI maturity snapshot, a ranked Opportunity Map, a baseline and ROI hypothesis, a first-workflow recommendation, and build / no-build guidance.

Can this lead into implementation?

Yes. If the business case is strong, Metacto builds the agentic workflow and the measurement layer around it.

Can you work with our IT and security teams?

Yes. Access controls, permissions, documentation, and auditability are part of the work, so it is easy to bring IT and security in early.

AI Maturity Assessment

Know where you stand, and what to fund next.

Get an honest read on your AI maturity, a ranked Opportunity Map, and the first workflow worth funding, with a build / no-build call.

What you'll get

  • An AI maturity snapshot
  • A ranked AI Opportunity Map
  • A baseline and ROI hypothesis
  • A first-workflow recommendation
  • A build / no-build call

A roadmap, not another workshop.

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100% secure
Quick response