Skip to content
Nolli
Request a demo

For leaders of AI transformation

Your AI transformation, run on evidence.

Nolli shows where AI belongs in your company and what it’s worth, proves it on your own work, and spreads what works to every team. Your people lead the change, so it sticks.

Request a demoRead our manifesto

Built for CEOsCOOsCIOs and CTOsChief AI and transformation officers

Why AI transformations stall

Most companies are buying AI faster than they’re learning where it belongs.

~80%

of CEOs are unhappy with the pace of their AI programs.

Source: Bain & Company, 2026

<40%

of employees say the scope and reasons for an AI-driven change are clear to them.

Source: Bain & Company, 2026

30%+

Typical gap between a team’s written procedure and how its work actually runs.

Source: Daniel Kornum, Varick Agents

70 / 30

Built for the documented process, automation handles about 70% of the volume and breaks on the other 30%.

Source: Daniel Kornum, Varick Agents

The pattern repeats: tools bought before the work is mapped, pilots built on the documented process, and no way to show what changed. The fix isn’t more AI. It’s evidence.

What Nolli answers

The five questions every AI program gets asked.

Nolli runs the forward-deployed engineer’s playbook for every team, all the time, so each answer rests on your own work.

See · Map the real work

How does our work actually run?

Nolli builds a living map of every team’s work from your people’s work on company devices, your email and calendar, and the logs of the AI agents they use. You see who does what, which apps and AI tools they use, where time goes and where work waits. It stays current, so it never becomes another stale deck.

  • The real steps, not the documented ones
  • Who knows what, and who uses which AI tools
  • Updated as the work changes
Guide: How forward-deployed engineers map real work
NolliWork map Your work map
Updated today

Recurring workflow

Weekly revenue review

Mondays · 2.5 h

  • Seen four Mondays in a row
  • Gathers 14 account threads each week
  • Copies totals from the workbook into slides by hand

Where it happens

GmailSlackSalesforceGoogle SheetsGoogle Slides

Connected to

What stands out

Four recurring workflows take about 7 hours of your week.

You are the only person who handles renewal exceptions.

Decide · Before you spend

Where should AI go first, and what is it worth?

Every workflow is broken into steps, and every step is sorted: delete it, run it as plain code, give it to an agent, or keep it with a person. Nolli ranks the opportunities by value and readiness, prices each one per task, and makes the build-or-buy call before you spend.

  • Ranked by hours and dollars, not by demos
  • The right model for each task, priced
  • Build, buy or skip, decided first
Guide: The four buckets: when to use AI agents
NolliOpportunities Sales
Updated today

Why it ranks here

Weekly revenue review prep

Same steps and the same sources every week. Only the recommendation needs a person.

How oftenEvery Monday
Time spent14 h a week
People involved6 people
Judgment neededLow on 4 of 5 steps

Every step, sorted

  1. Copy totals into slides by handDelete
  2. Pull closed-won dealsPlain code
  3. Collect account updatesAgent
  4. Reconcile conflicting figuresAgent
  5. Write the recommendationHuman

Nolli recommendsAgent prepares · you decide

Prove · On your own work

Is it working?

Agents run in shadow mode first, alongside the real work without sending or changing anything, and are scored against what your people actually did. Then the same workflow is measured three ways, by people, by people with AI and by agents, on time, quality and cost.

  • Before-and-after evidence for the board
  • Your own evals, kept as a company asset
  • People and agents watched after go-live
Guide: How to compare AI model cost per task
NolliBenchmarks Weekly revenue review prep
MeasureHumanHuman + AIAgent
Time to a ready deckHuman2 h 30 mHuman + AI1 h 10 mAgent40 m
People’s timeHuman2 h 30 mHuman + AI1 h 10 mAgent15 m
Conflicts caught before reviewHuman2 of 3Human + AI3 of 3Agent3 of 3
Recommendation written byHumanA personHuman + AIA personAgentA person

RecommendationAgentAn agent prepares the deck. A person resolves conflicts and writes the recommendation.

Equip · Every person

How do we get everyone using it?

Your best people have already found what works. Nolli turns their know-how into skills, SOPs and agents, shares them across the company, and shows which ones pass your checks, so adoption spreads from person to person instead of from a training day.

  • A shared skills library, re-tested weekly
  • SOPs and PRDs written from real work
  • Agents that work inside the tools you use
Guide: What AI-native actually looks like
NolliSkills Your organization
Re-tested weekly

What it does

Reconcile closed-won deals

Matches Salesforce closed-won deals to the forecast workbook and flags every conflict for a person.

Passes your checks98%
Saved each week2.1 h
Shared with6 people

Built from

Observed 4 MondaysRevenue review SOP

Used inWeekly revenue review

Govern · Stay in control

Are we in control?

A person approves anything risky, and every agent leaves a record of what it did. You see which AI tools are in use across the company, approved or not, and set policies for which tools and data are allowed.

  • Approvals where your team already works
  • An audit trail for every agent run
  • Shadow AI found, not guessed at

Who it’s for

Built for the leaders accountable for AI.

  • CEOKnow where AI pays off, and show the board what changed.
    • A ranked portfolio, in hours and dollars
    • Evidence from your own work
  • COOSee how work really flows across every team.
    • Bottlenecks, handoffs and cycle times
    • Process changes proven before rollout
  • CIO and CTOMake build, buy and model calls on evidence.
    • Cost per task for every model
    • Every AI tool in use, approved or not
  • Chief AI officerRun AI as a portfolio, not a pile of pilots.
    • Shadow mode before go-live
    • Skills and agents that spread

Why it sticks

Done with your people, not to them.

Bain finds the hardest part of AI change is clarity: people know something is changing, but not how their own work should. Nolli starts from each person’s real work, shows them where AI helps, and turns what your best people know into skills everyone can use. They become the experts, instead of watching outsiders automate their jobs.

  • Every person sees their own work, and where AI fits in it.
  • Your experts’ know-how becomes shared skills, credited to them.
  • People approve what agents do, and decide when an agent has earned more.
Read our manifesto

How it rolls out

Start with one team. Scale what works.

  1. Start where the pressure isOne function where AI spend or expectations are highest: the finance close, revenue operations or support.
  2. Map the real workNolli learns how that function really runs, from its people, its systems and its docs.
  3. Prove before you scaleThe best opportunities run in shadow mode first, measured against how the team works today.
  4. Spread what worksSkills, SOPs and agents that pass your checks roll out to the next team, and the map keeps growing.

Questions leaders ask

Before you start

Something we haven’t answered? Email the founders.

How is Nolli different from hiring AI consultants or forward-deployed engineers?

Consultants and forward-deployed engineers map a few teams for a few weeks, and much of what they learn leaves with them. Nolli runs the same playbook for every team, all the time, and your own people stay the experts. It also works alongside outside experts: they start from a current map instead of a round of interviews.

Do we have to switch tools?

No. Nolli works inside the tools you already use, and agents ask for approval where your team already works, like Slack.

How do you measure ROI?

On your own work. Nolli measures the same workflow done by people, by people with AI and by agents, on time, quality and cost per task. Agents run in shadow mode first, so you see results before anything goes live.

Is this about replacing people?

No. Nolli works for your people. It makes them the experts, takes the busywork off their plates, and frees them for higher-value work.

How does Nolli handle governance?

A person approves anything risky, and every agent action is recorded. You see which AI tools are in use across the company, approved or not, and set policies for which tools and data are allowed.

Which AI models do you use?

For each task, the cheapest model that passes your own checks, whether frontier, small or open-weight. Nolli shows the cost per task for each.

Where should we start?

With one function where AI spend or pressure is highest, such as the finance close, revenue operations or support. Nolli maps it, ranks the opportunities, proves the best ones in shadow mode, then spreads what works to the next team.

Start with one team

See where AI pays off in your company.

Nolli maps one function, ranks its opportunities and proves the best ones, before you scale.

Request a demoEmail the founders

Sources

  1. “What Is an AI-Native Enterprise?” Bain & Company, August 2026.
  2. Daniel Kornum. “If AI is so great, why isn’t it working?” Varick Agents.