Product discovery
AI summarises research, user feedback and market signals, so we can spend our time on the right problem.
AI-native software studio
We build software with AI at every step.
Ayasya Technologies is a development and product team where AI is part of the everyday workflow, from planning the backlog to writing, testing and shipping code. You get working software sooner, and experienced engineers still own every decision.
pm-agentTurned 14 customer interviews into 6 user stories
humanPrioritised the backlog and approved sprint scope
code-agentDrafted the feature on branch feat/invoices
test-agentWrote 42 tests, all passing ✓
review-agentFlagged 2 edge cases and 1 security issue
humanReviewed the diff, fixed the issues and merged
ops-agentDeployed to production, monitors green ✓
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PlanBuildTestReviewShip
AI PRODUCT MANAGEMENT
AGENTIC DEVELOPMENT
AUTOMATED QA
LLM INTEGRATION
AI-ASSISTED OPERATIONS
AI across the lifecycle
AI isn't a feature we add at the end. It runs through the whole process.
Every stage of our delivery process, from the first idea to production, uses AI tools that make the team faster and more thorough.
Product management
We draft specs and user stories with AI, refine the backlog and plan sprints, then product owners make the calls.
Engineering
Engineers work alongside coding agents, so routine code takes much less time and they can focus on architecture.
QA & code review
AI generates tests and reviews every pull request for bugs and security issues before a human approves the merge.
Release & operations
We use AI-assisted monitoring and incident triage to find and fix problems quickly, before your users notice.
Documentation
Docs, release notes and handover guides are generated as we go and stay up to date with the code.
Humans + AI
AI does the speed work. Our engineers stay accountable for the result.
Many teams are experimenting with AI. We've built our whole delivery process around it, and every decision about quality, security and product direction is still made and owned by a person.
How we think about AI →AI handles+People own
Research synthesis+Product strategy
First-draft code+Architecture
Test generation+Quality bar
PR pre-review+Final approval
Alert triage+Incident response
What we do
Services for teams that want to move faster with AI.
AI-native product development
Web apps, platforms and APIs, built from scratch with an AI-assisted workflow.
- MVPs and prototypes in weeks
- Full-stack web and backend
- Documented, maintainable code
AI-powered product management
Product leadership that uses AI for discovery, roadmaps, specs and delivery tracking.
- Discovery and requirements
- Backlog and sprint management
- Roadmaps tied to outcomes
AI features for your product
Bring LLMs, agents and intelligent automation into the products and workflows you already have.
- Assistants, search and summarisation
- Agent workflows and automation
- Evaluation and guardrails
Maintenance & modernisation
We keep production systems healthy and use AI to work through legacy code and upgrades faster.
- Monitoring and support
- Refactoring and upgrades
- Codebases we didn't build
Client stories
What our clients say.
Teams that work with us on AI-native delivery describe the experience in their own words.
Remitrix has served financial institutions since 2017 with Solvency II, IFRS 17, ALM and Value-at-Risk engines, and now with Remi, an autonomous AI risk professional that works on top of them.
Ayasya works the way we build our own product: AI does the heavy lifting and an engineer signs off on every change. Work that used to take a sprint now lands in days, with tests and documentation already in place.
BReady gives people a reflective avatar grounded in established psychology, so they can rehearse a difficult conversation out loud and walk into it knowing what they feel, think and want.
We came to Ayasya with an idea and a tight timeline. With AI in every step of their process we were reacting to a working prototype within weeks, and the code never felt rushed.
How we work
From idea to production, faster than a traditional process.
01
Discover
We map the problem, users and constraints, and use AI to synthesise research in days instead of weeks.
AI: research & specs
02
Prototype
A clickable or working prototype comes early, so you can react to something real.
AI: rapid prototyping
03
Build
Short sprints with coding and testing agents, and engineers reviewing every change.
AI: code, tests, review
04
Ship & evolve
We release in small steps, monitor live use and keep improving the product after launch.
AI: monitoring & triage
Our commitments
Responsible AI, built into how we deliver.
People own every decisionAI makes suggestions. An engineer or product owner reviews and approves every change that ships.
Your data stays privateWe pick AI tools and settings that keep your code and data confidential and out of model training.
Clear, honest reportingYou see exactly where AI was used, what it saved, and what we checked by hand.
Ready to build with an AI-native team?
Tell us what you're building, or what's slowing your team down. We'll show you where AI can make the biggest difference.