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boltEngineering Excellence

Our AI-Enabled SDLC Process

Enerasoft uses AI at every stage of building software, with senior engineers directing and reviewing the work. Our targets are a 2-day discovery workshop, a first working demo in about 10 business days, and a production launch in 4 to 8 weeks, depending on scope.

Seven stagesAI assists, a human decides
  1. 01DiscoverAIcheck_circleHuman
  2. 02DesignAIcheck_circleHuman
  3. 03BuildAIcheck_circleHuman
  4. 04TestAIcheck_circleHuman
  5. 05ReviewAIcheck_circleHuman
  6. 06DocumentAIcheck_circleHuman
  7. 07OperateAIcheck_circleHuman
Our process, in seven stages

How AI is used, and who decides

AI supports every stage and senior engineers are accountable for every output. At each stage AI does the groundwork and a named person makes the decision.

  1. 01

    Discover

    How AI is used

    Turns interviews and documents into structured requirements and user stories

    Who decides

    Engineer and business owner confirm scope

    Starts with a 2-day workshop to map goals, constraints and the existing landscape.

  2. 02

    Design

    How AI is used

    Proposes architecture options, data models and API contracts to compare

    Who decides

    Architect chooses and signs off

    Tradeoffs are documented before any build work starts.

  3. 03

    Build

    How AI is used

    AI-assisted coding and scaffolding across the stack

    Who decides

    Engineers write and own the critical logic

    Agile sprints with regular demos and shared progress.

  4. 04

    Test

    How AI is used

    Generates unit, integration and regression tests and test data

    Who decides

    Engineers review coverage and edge cases

  5. 05

    Review

    How AI is used

    Flags bugs, security issues and standards gaps in code

    Who decides

    A human reviewer approves every change

  6. 06

    Document

    How AI is used

    Drafts technical documents, runbooks and release notes

    Who decides

    Owners check accuracy

  7. 07

    Operate

    How AI is used

    Log analysis and incident triage

    Who decides

    The on-call engineer decides and acts

    Monitoring, optimisation and ongoing support as usage grows.

Target Delivery Timeline

Targets, not promises. Actual timelines depend on scope and are agreed before work starts.

rocket_launch

Target: Kickoff

<1 week

visibility

Target: First Working Demo

About 10 business days

check_circle

Target: Production Launch

4–8 weeks

Engagement

Ways to work with us

We are open to working in any model, and can combine them, for example a short pilot followed by a dedicated team. We agree the model, scope and commercial terms in writing before work starts.

Start here

Discovery or pilot

A short project to see how we work before a bigger engagement. It starts with a focused workshop to map goals, constraints and the technical landscape.

Fixed scope

Agreed deliverables, agreed timeline and agreed price, set after discovery or a pilot. Changes are agreed in writing before they are built. Suited to well-defined products and integrations.

Time and materials

Work billed on effort, in sprints with regular demos. Suited to work where scope will evolve.

Dedicated team

A small, senior team embedded with yours for an agreed period, using your tools and processes.

Support and operations

Ongoing support, monitoring and maintenance for systems in production, whether we built them or not.

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