AI speed, with a person approving every stage

AI-Accelerated is Tog Lab’s way of building software with AI: AI agents do the heavy lifting across seven stages, and a person approves each one before the next begins.

Tell us about your project See how it works

Faster than the traditional cycle, with a record of who approved every decision.

How it works, from request to production

The same cycle repeats at each of the seven stages. AI does the heavy lifting and a person decides whether the stage is ready.

Seven approval gates, one at the end of each stage. At each gate, a named person with a defined role reads the stage document and decides whether the work moves forward. AI does not ship anything on its own.

See what happens at each stage

The seven stages

Always in the same order. Pick a stage to see what AI does, who approves it and the document that gets recorded.

At each stage, the badge shows who approves before the next one starts.

AI does: {{ cur.ai }}
Approval gate: {{ cur.human }} The next stage starts only after this sign-off.
What gets recorded: {{ cur.rec }}

What it is: {{ cur.what }}

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Sample project

Inside AI-Accelerated

The technical pieces that keep AI working within your company’s standards. Pick a piece to see what it does. The technical name appears next to it, for anyone who wants to go deeper.

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What it is: {{ ad.what }}

How far AI goes today

Four levels of autonomy. AI-Accelerated works up to the third, always with an approved plan and review by a person.

AI edits files outside the approved plan, or in sensitive areas such as payments, authentication and personal data, only with explicit approval from the Tog Lab tech lead. The autonomous agent is Tog Lab research and is not part of any commercial proposal today.

AI-Accelerated inventory

A proposal includes only what has already been validated in client projects. The rest we use in our own projects or are still studying.

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Inventory as of October 2026.

The traditional cycle, shortened with AI

A case study measured by Tog Lab

We compared the same deliverables of a SaaS product under two models: the plan for the traditional cycle and the execution with AI-Accelerated. The domain was well defined. On legacy systems, the gain is usually smaller.

163 daysunder 5 days

of work across the three deliverables measured in days: feature plan, authentication and payments.

Fewer hours of work for the same deliverable mean lower project cost. On every project, we measure the starting point and the actual gain before promising any number.

Each row compares both cycles for the same deliverable. Bars are roughly to scale in hours of work.

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Governance

Every decision has an owner and a record, and AI-Accelerated does not depend on a single AI model.

References used to design the governance model: NIST AI RMF, OWASP Top 10 for LLM Applications and ISO/IEC 42001. They guide the design and do not indicate Tog Lab certification.

Read: The driverless car and AI-assisted software development

Where AI-Accelerated runs

The method stays the same. What changes is who leads and where it runs.

Being validated with clients

See AI-accelerated development on one of your business workflows

Someone from business and someone from engineering will talk with you. We reply within 1 business day.

Tell us about your project hello@toglab.co