A clear five-phase process that takes you from first conversation to a live, production-ready AI system — so you always know what’s happening, why, and what comes next.
We start with a focused strategy session — no tech jargon, just a real conversation about your goals, bottlenecks, and what success looks like. We audit your existing tools and data sources, map every touchpoint where AI can move the needle, and define the exact scope, KPIs, and constraints for your solution before a single line of code is written.
This phase is designed to surface the real problem, not the assumed one. Often the most valuable output isn’t what to build first — it’s knowing what not to build yet.
Primary goalReduce support ticket resolution time by 60%
Key bottleneckManual triage takes 4 hours daily across 3 agents
Current toolsZendesk, Notion knowledge base, Slack
Success metric70%+ tickets resolved without human touch
✓ Goals aligned✓ Scope defined✓ KPIs set
System Architecture Ready for review
Your dataZendesk + Notion
→
RAG pipelinechunked + embedded
→
LLM layerClaude 3.5
Vector DBPinecone
→
API layerFastAPI
→
WidgetZendesk embed
✓ Model selected✓ Stack approved✓ Timeline agreed
02Blueprint
Architecture & blueprint
Before a single line of code is written, you receive a complete technical blueprint. We select the right models, APIs, data pipelines, and integration points for your specific stack — and we explain every decision in plain language so you know exactly what you’re approving.
The blueprint shows precisely how the AI plugs into your business: what data it reads, what actions it can take, and where humans stay in the loop. You review and sign off before build begins. No surprises, no scope creep.
System architectureTech stack specIntegration planBuild timeline
Typical timeline: 2–3 days
03Build
Build & iterate
We build in focused sprints and share progress every step of the way. From day one, you have access to a live staging environment where you can test the agent yourself, give direct feedback, and watch it evolve in real time. No disappearing for weeks, no final reveal.
Every piece of feedback shapes the next sprint. You are a collaborator, not a passenger — which means the thing that ships is something you have actually tested and trust, not something handed over as a surprise on launch day.
Working prototypeStaging environmentWeekly updatesFeedback loops
Typical timeline: 1–4 weeks
Sprint 2 · Staging Live review
staging.support-agent.iontek.example
What’s the refund window on the Pro plan?
Pro plan includes a 30-day money-back guarantee. Go to Account → Billing → Request Refund. (Source: Help Centre, 98% confidence)
✓ Sprint 1 done🔄 Sprint 2 in reviewSprint 3 queued
Deployment Checklist Production
✓QA test suitePassed (42/42)
✓Load test (500 rps)Passed
✓Edge case coverage100%
✓Guardrails activeConfirmed
✓Monitoring setupLive
Agent live✓ Handover docs✓ Team trained
04Launch
Testing & deployment
We run structured testing — edge cases, load scenarios, and real-world walkthroughs — before anything goes near your live environment. Every guard-rail is confirmed, every integration stress-tested, and every failure mode mapped and handled.
We handle the full deployment to your preferred infrastructure and set up monitoring dashboards so you know the system is healthy from minute one. Your team receives clear handover documentation and a live walkthrough session so they can own and operate it with confidence.
QA test reportLive deploymentMonitoring setupHandover docs
Typical timeline: 3–5 days
05Growth
Support & growth
Launch is not the end — it’s the beginning. Your AI improves over time as it processes real data, gets refined against real edge cases, and adapts to how your business actually uses it. We stay close and keep it sharp.
As your business evolves, we expand the system’s capabilities: new data sources, new actions, new integrations. We are a long-term partner invested in your results — not a one-off vendor who disappears at go-live.
A few of the AI systems we’ve shipped and what they changed for the businesses behind them.
0
of tickets resolved without a human. A support agent grounded in their help centre and product docs, with human escalation for edge cases. First-response time dropped from hours to seconds.
“It handles the volume our team never could — and customers can’t tell.”
[Name, Title, Company]
0
hours saved a year. An invoice-chasing and reconciliation agent wired into their accounting stack now runs the follow-up process end to end.
“[Client quote]”
[Name, Title, Company]
0
lift in conversion. A customer-facing recommendation and Q&A assistant that helps shoppers find the right product, launched in 6 weeks.
“[Client quote]”
[Name, Title, Company]
Ready to start?
Let’s map your first AI use-case.
Book a free 30-minute consult. No pitch, no pressure — just a clear-headed conversation about where AI can actually move the needle for your business.