Is this you?
You’re running a real product, with real customers — but the next phase feels fragile. We work with teams facing real scaling challenges.
- Your system works, but scaling feels increasingly risky
- AI initiatives exist, but real production impact is unclear
- Legacy decisions slow down new development
- Internal teams are overloaded or misaligned
- You sense technical risk, but can’t clearly articulate it
- Complexity grows faster than visibility
If two or more resonate, this offer is designed for you.
Why most aI Adoption efforts fail
Typical approach
- Bolt AI onto existing workflows
- Run pilots with no path to production
- Skip governance and ownership setup
- Treat AI as a tool, not a delivery system
Ardas AI-first approach
- Designs AI into delivery from the start
- Builds production rules, not just prompts
- Covers requirements, CI/CD, monitoring, and code gen
- Ends with an executable roadmap and team trained to use it
What we Cover
Four core modules designed to surface the risks and opportunities that matter most to your next phase of growth.
Discovery & Requirements
- Map your current state
- Identify AI integration opportunities
- Produce a testable feature roadmap
AI Codegen Foundations
- Train teams on AI-assisted development workflows
- Establish context, rules, and prompt standards
- Implement verification and human review practices
CI/CD & Testing with AI
- Design AI-augmented testing pipelines
- Improve regression coverage and edge case detection
- Identify high-risk changes before deployment
Production Monitoring & Governance
- Set up real-time anomaly and drift detection
- Implement alerting for critical system behavior
- Establish human-in-the-loop governance processes
What you get
Concrete deliverables designed for executive decision-making, not documentation that sits on a shelf.
Architecture Risk Review
System architecture audit with identified risks and control gaps
AI Delivery Priorities
AI Feature Implementation Roadmap — prioritized, sequenced, ready to execute
Rules, Workflows, and Delivery System
Rules, workflows, and CI/CD setup for governed AI delivery
Executive Review Session
Walkthrough of findings, decisions, and implementation next steps
How it works
A structured process designed for minimal disruption and maximum clarity.
Intake & Kick Off
Discovery Kickoff — 2 sessions/week for 1 month. Interview product, tech, and business teams.
System & Data Analysis
Document As-Is state. Identify gaps between current delivery and AI-ready production.
Synthesis & Prioritization
Synthesize findings into roadmap, requirements doc, risk register, and use case library.
Executive Walkthrough
Present findings to leadership. Align on To-Be state and implementation sequencing.
AI Codegen
Workshop Series
For teams who want to upskill alongside the discovery.
Covers:
Request AI Adoption
Overview
For teams scaling SaaS, fintech, healthcare, and data platforms — this is the entry point to a long-term AI delivery partnership with Ardas.
Get The Overview
Who this is for
Good fit
- Post-PMF SaaS, fintech, healthcare, logistics
- Teams of 20–100 with active AI work
- Moving from AI pilots to production
- Leaders lacking system visibility
Not a fit
- Pre-product or pre-PMF teams
- No active AI initiatives
- Looking for one-off deliverables
- Not ready for process change
Choose your starting point with us
Used as an entry point for long-term partnerships across SaaS, fintech, healthcare, and data platforms
The Ardas AI Audit has helped teams — from Series A startups to enterprise divisions — make confident architectural decisions before committing significant AI investment.
Discovery Package
For Teams that need clarity before committing to delivery
- Roadmap
- Requirements doc
- Risk register
- Use case docs
- Weekly reports
Workshop Programme
For Teams ready to start shipping with AI now
- Foundations
- Planning
- Rules
- Testing
- Leads workflow
Tell us about your product
This information helps us understand if and how we can help.