Decision intelligence for software businesses

You have the data.Get in time to change results.

Autonomic finds the commercial signals your systems hold separately, explains what is changing and shows you where to act while the result can still be changed.

You make decisions all day, how often is the evidence there when you need it?

The information exists. It is distributed across systems, reported at different times and interpreted by people carrying different versions of the truth.

One evidenced view, with every assumption visible and every material change explained.

See the first meaningful signal, not merely the point at which it became a reported problem.

Join the evidence across systems and separate what is observed from what has only been reported.

Continuously surface emerging risk and opportunity while there is still an intervention to make.

AUTONOMIC / LIVE DECISION
SIGNAL ACTIVE 09:42:18
Revenue / Enterprise pipeline

Change the result before it becomes the report.

A material shift has appeared. Autonomic found the cause while there is still time to recover the quarter.

01 / SIGNAL−18%

Enterprise conversion moved below plan in the last 72 hours.

02 / WHY NOW
  • Two deals experiencing additional late-stage security (−7%)
  • One deal seeking post-price alignment discount (−3%)
  • One deal engaged decision maker earlier than anticipated +4%
03 / INTERVENTION5 days

Re-sequence technical validation before decision meetings.

Q3 ARR OUTCOMEThe result is still moving.
Plan £2.84m Current path With Autonomic
SIGNAL FOUNDRoot cause identified
CURRENT STATEProblem identified post event
DELIVERED BEFORE BOARD£2.78mOutcome recovered in-quarter
REPORTED AFTER£2.42m−£420k to plan
Quarter openedAutonomic signalProblem reportedBoard meeting

Traditional systems record events. Autonomic helps plot the path.

One intelligence layer joins the evidence, establishes what is true enough to act on and keeps learning from the result.

Connect · Business movement

Join the evidence

CRM, finance, customer and operating signals become one readable evidence layer.

CRMFinanceCustomerJoined evidence
Commercial upside3–7% revenue protected

Commercial leakage becomes visible before it disappears into the reporting cycle.

Company upside1–2 margin points

Less manual reconstruction and faster intervention return operating leverage.

01 / 06
Complete operating transformation

See the system architecture and surfaced intelligence that turn movement into intervention.

Explore the platform
01 / THE REPORTING CYCLEAfter the result

Explain the number the board expected you to control.

Evidence arrives after the outcome is fixed.

Holmes · Revenue foresight

A forecast you can repeat. Results you still have time to change.

The CRM carries a number; the room gives you five versions of why.

Holmes creates an evidenced, risk-weighted forecast and directs attention to the decisions that remain influenceable.

Holmes
SSFounder view
Q3 · Current forecastLiving forecast
Updated 4m ago
Reported£2.84mTeam submission
Risk-weighted£2.42m−£74k since Friday
Exposure£418kAcross 3 material deals
Original forecast trajectory£2.84mSubmitted plan
Current trajectory gap−£420kAgainst plan
Risk between now and end of month£418kAcross 3 material deals
Opportunity identified between now and end of month£360kStill recoverable
Quarter trajectoryActual performance and the remaining decision window
Original plan Actual Still possible
Elapsed · 57%
Decision window · 43%
£3.0m£1.5m£0
Today · day 51
1 Jul30 Sep
Needs attention
3

Where intervention can still change the result.

H
HOLMES · CHANGED SINCE LAST READNorthstar’s decision process moved outside the agreed sequence.

Legal engagement has not followed the verbal commitment. Similar patterns converted at 31%.

Selected programme

One of only a few hundred founding-cohort participants selected from 30,000 global applications. MasterClass Executive is a selective, AI-native business programme developed with the University of Chicago Booth School of Business and built with collaboration from OpenAI.

Working directly with AI-adjacent faculty including Sanjog Misra, Jean-Pierre Dubé, Grant Lee and Mark Cuban.

with collaboration from

Operator evidence

Methodology honed over 20 years carrying the number.

Twenty years across revenue, growth and company-building shaped the questions Autonomic asks: what changed, what is at risk, and what can the team still influence?

Built in the room20 years

Commercial operating experience across software businesses.

3× revenue growth
Operating leverage2.8×

FTE productivity uplift.

Fewer resources, greater output
Capital effectiveness3.2×

CVR and capital effectiveness.

Conversion becomes compounding value
Scott Sampson, founder of AutonomicScott Sampson · Founder, Autonomic

Built from the other side of the board slide

“Twenty years of carrying the number taught me where a business needs to look before it moves.”

Autonomic turns an operator’s discipline into software: join the evidence, establish what changed and direct the next decision while there is still time to alter the outcome. Scott shaped the method; the platform makes it repeatable.

Follow Scott’s point of view Book time with Scott

Let’s start with what your business struggles most to answer.

One route from a useful first conversation to a living capability inside the business.

01

Start with the decision

A free working session. Leave with useful ideas whether or not we work together.

02

Establish the evidence

A paid diagnostic that identifies the signal, system and decision gaps.

03

Install the capability

Repair the evidence flow and deploy Holmes or the right intelligence surface.

04

Keep learning

Recurring software improves against outcomes, with optional operator support.

Explore ways to work together

A useful place to start

What is the signal you cannot currently trust?

Bring the decision it is preventing. Leave with a clearer view of what needs to change.