Find the AI workflow that can move EBITDA.
Metacto helps PE operating teams and portfolio-company leaders find the AI tied to revenue, margin, or risk, then builds the agentic workflow when the business case is real.
Discuss AI value creation
Find the workflow tied to EBITDA, before you fund another pilot.
20+ years building production software. 100+ products shipped.
Built for operators, sponsors, and technical teams turning AI into enterprise value
AI experimentation does not create value by itself.
For PE-backed companies, AI only matters when it changes the operating model, moves a measurable business number, or expands capacity to scale. Activity is easy. Value takes workflow change with an owner.
Sources: McKinsey, The State of AI 2026 · PwC, 2026 AI Performance Study · MIT Project NANDA, GenAI Divide 2025
AI activity is not AI maturity.
Claude, Copilot, GPTs, and dashboards aren't maturity. The question isn't who uses AI. It's where AI has changed how work gets done.
AI access
Licenses and tools available to the team.
AI activity
Copilots, chats, and experiments in daily use.
Prioritized use cases
The workflows worth funding are identified and baselined.
Agentic workflows
Agents run inside real processes, with human approval.
Measured impact
Revenue, cost, speed, quality, and risk move, and it's tracked.
Most portfolio companies stall at activity. Metacto moves them 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 shows up in enterprise value.
Revenue expansion
Sharper qualification, faster follow-up, stronger conversion.
Margin improvement
Less manual review, lower cost per output, recovered capacity.
Operating leverage
More output per head; scale without proportional hiring.
Speed to decision
Shorter cycle times, faster approvals and reporting.
Risk reduction
Earlier exception detection, clearer audit trails.
Pick the number that proves it was worth it.
Every workflow has a leading metric that moves early and rolls 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.
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.
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 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.
What value creation looks like in production.
A manual operation rebuilt into an AI-enabled platform, with measurable throughput and outcome visibility.
Metacto replaced manual research and spreadsheets with a purpose-built platform, then layered an agentic workflow that finds, enriches, qualifies, and creates records, with admins in the loop. Operating leverage, not a demo.
Enterprise impact · Revenue · Margin · Speed
“My results weren't diluted with technology. Being tech-enabled lets me see what's going on, and that transparency builds trust.”
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
Lead & deal agents for RevOps
$1.4M added pipeline
17% → 22% win rate
Revenue · Speed
Embedded compliance copilot
$320K annual capacity recovered
1.67× analyst output
Risk · Margin
From scattered AI to one funded workflow.
Start with a number worth changing. Then build the system to change it.
Opportunity Map
You get Ranked opportunities and a recommended first workflow.
Context Layer
You get Data, rules, access, and a measurement plan.
Agentic workflow
You get A live workflow with human review and integrations.
Continuous AI Ops
You get ROI reporting and an expansion roadmap.
Built so the sponsor, operator, and IT team can say yes.
One assessment, three aligned decisions.
For the sponsor
What to fund, the EBITDA impact, and who owns the metric.
For the operator
What changes, what stays human, and where exceptions go.
For IT & security
Systems touched, data used, and the controls required.
Is this right for your company?
- A sponsor or operating team is pushing AI value creation
- AI tools are in use, but impact on EBITDA is unclear
- A manual workflow is capping revenue, margin, speed, quality, or risk
- An executive will own the outcome
- You want a measurable first investment, not another tool
- 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.
Can you work with both the PE operating team and portfolio-company leadership?
Yes. We align the operating partner, the company's executive sponsor, and the workflow owner around one decision: which AI workflow to fund and what it should move.
How do you tie AI opportunities to EBITDA or enterprise value?
We baseline the workflow, map the leading metric to a value driver (revenue, margin, speed, quality, or risk), and define the build / no-build threshold before any spend.
Can this be used across multiple portfolio companies?
Yes. The assessment is a repeatable playbook: the same five value drivers and the same decision packet, run per company so results are comparable across the portfolio.
How is this different from an AI pilot?
Pilots prove something is possible. We start from value, pick one workflow, baseline it, and give a build / no-build call, so you fund a measurable investment instead of a demo.
What internal team do we need?
An executive owner, a workflow owner, a path to system access, and agreement on the metric that matters. Metacto builds the rest.
What happens after the assessment?
A build / no-build recommendation and a phase-one roadmap. If the case is strong, Metacto builds the agentic workflow and measurement layer.
AI Value Creation Review
Find the AI workflow that can move EBITDA.
Before you fund another pilot, get the workflow worth building first, its baseline tied to a value driver, and a build / no-build call.
What you'll get
- An AI maturity snapshot
- A ranked AI Opportunity Map
- A baseline tied to a value driver
- A first-workflow recommendation
- A build / no-build call
Operating leverage, not another pilot.
Thank you!
We'll be in touch within one business day to discuss next steps.
Explore Opportunity Mapping