AUTONOMY LEVELS

Four levels of agent autonomy

From every phase gated by a person to agents building and iterating on their own

More human control More agent anatomy

Human-gated

Fits

Brownfield, regulated, customer-facing core

How it works

Agents draft plans, code and tests. A person approves every phase while context is captured.

Plan-approved

Fits

Scaling products with an active roadmap and good tests

How it works

Agents build against a human-approved plan. Architecture and interface changes stay gated.

Spec-anchored

Fits

Greenfield MVPs built spec-first, with tests from day one

How it works

Specs are the source of truth. Changes are verified automatically and reviewed at merge.

Agent-driven

Fits

Prototypes and internal tools where speed matters most

How it works

Background agents build and iterate. People review outcomes against clear acceptance criteria.

WHAT SETS THE LEVEL

Three things decide how much agents can do

Initiative stage

Prototype, MVP, scaling product or a long-lived core system.

Context in the system

How much of what agents need lives in code, docs and tests.

Oversight intensity

Regulatory exposure, liability, judgment and exception rate.

ARCHITECTURE

Human-led, agent-powered, by design

Phases run left to right. Layers run top to bottom: people decide, agents do the work, the platform grounds them, and your systems stay yours

WHAT YOU GET

Everything in your assessment

Readiness ceiling

The highest level you can run today, given your tests, CI/CD and context.

Level-up plan

What to change to move each initiative up a level, starting with context for legacy systems.

Review surfaces

How engineers supervise agent output at L2 to L4, designed with our Agentic UX team.

HOW THE ASSESSMENT RUNS

Two weeks. Your repos. A plan you can act on

What we need from you

Read access to 2 to 5 repositories
Interviews with engineering leads
CI/CD and incident history
Your initiative list

Run by

FINE pods

The engineers who run the assessment,

CUSTOMER STORIES

Results we're proud of

Agentic Transformation Telecom · Network operations

~50%

targeted reduction in MTTR

Targeted cut in time to resolve, with a root-cause analysis agent for a US broadband provider.

Agentic Transformation ↗

Telecom

~50%

targeted reduction in MTTR

How agents took over claims intake without losing human review

~50%

targeted reduction

Agentic Transformation

Telecom ↗

How agents took over claims intake without losing human review

Agentic Engineering Law

faster legal research

Building a lending platform with specs first and agents building against them

Structured specs became the contract. Agents built to them, tested against them, and flagged drift — shipping three times faster without sacrificing compliance.

Agentic Engineering ↗

Law

faster legal research

Building a lending platform with specs first and agents building against them

faster legal research

Agentic Engineering

Law ↗

Building a lending platform with specs first and agents building against them

Agentic Transformation SecOps

40%

less time on incident triage

Incident triage that routes itself

Agents now read incoming alerts, correlate signals across systems, and assign severity — before a human ever opens a ticket. Teams focus on resolution, not classification.

Agentic Transformation ↗

SecOps

40%

less time on incident triage

Fewer SLA breaches, with an orchestration studio for a team supporting 10K+ employees.

40%

less time on
incident triage

Agentic Transformation

SecOps ↗

Fewer SLA breaches, with an orchestration studio for a team supporting 10K+ employees.

Agentic Transformation Pharma

1 week

from kickoff to first release

Instead of ~2 months, with agents that co-author clinical study documents.

Starting from AI-native principles let us move fast without accruing debt. Eight weeks later, the product was live — and the architecture was ready for what came next.