AI Services
How software is built, shipped and remembered
Three AI offerings that also power every Hanodale AI employee. Each can be deployed on its own, and humans keep control of merges, releases and final decisions.
3 offerings
Each deployable on its own, with no dependency on the others.
8–14 weeks
Typical implementation per programme, with first results in 3–4 weeks.
18 capabilities
Workstreams across knowledge, delivery and DevOps.
Enterprise knowledge
CortexOne
CortexOne indexes your existing files, email, tickets, HR and ERP data, then answers questions in plain language with a citation on every answer. When the record is missing or out of date it flags the gap instead of guessing.
Best for: organisations losing institutional knowledge or facing long ramp-up times for new staff.
- One index across sources, with no need to re-file content
- Permission-aware retrieval that respects existing access rules
- Citations on every answer, plus gap and stale-record reports
- Workflow automation for frequent requests
- Continuous capture of decisions, tickets and threads
- Full query audit trail and governance reporting
- Runs inside your own estate; cost scales with queries, not seats
AI-automated SDLC
ForgeOne
ForgeOne runs software delivery from requirement to release through defined phases and quality gates, each with a named owner: business analyst, tech lead, DevOps engineer, QA lead and release manager. AI agents for analysis, development, testing and PMO work alongside your team.
Best for: large legacy estates, multi-team delivery and regulated or audited environments.
- Checks requirements for gaps against the live codebase
- Static analysis, unit tests, security scans and AI code review on every commit
- Five levels of automated testing with dated evidence
- Pass criteria and an audit trail at every gate
- Self-healing pull requests for failed builds and tests
- Validation reports, release notes and user guides generated from the pipeline
DevOps Setup, built with AI
A governed pipeline in 14 weeks
We move teams from manual deployments to an automated, governed pipeline using open-source tools first: GitHub, Jenkins, Flyway and Plane. Working results arrive from week 4, and production is left untouched in phase 1.
Best for: teams with no pipeline, or with one they don’t trust. New tooling typically costs about US$70–120 a month for a ten-person team.
- Repository restructure with a four-branch strategy and protected merges
- CI/CD on every merge with canary releases and automatic rollback
- Versioned database migrations, baselined per environment
- Self-hosted issue tracking linking bug to commit to release
- Version-controlled reports, configuration and deployment scripts
- A separate internal test environment
Engagement options
Start where your cost is highest
DevOps Setup provides the foundation, ForgeOne runs delivery on it, and CortexOne keeps the decisions behind the work.
Assessment
Two-week discovery producing a costed, phased plan.
Proof of value
One module and one squad, baselined to show where rework occurs.
Full implementation
One programme delivered end to end.
Portfolio rollout
All three, sequenced with shared discovery and governance.
Uplift & expansion
New gates, AI touchpoints or knowledge domains on existing systems.
Advisory retainer
Tuning, support and quarterly reviews after go-live.
Reported outcomes: first working results within 3–4 weeks · about 3 hours saved per environment on each database synchronisation · one-click release across environments · contract terms and precedent found in minutes.
Ready to hire your first AI employee?
Tell us which work takes your team the most time. We reply within one working day with a costed pilot plan.