Build & Test
This is where the architecture becomes a working system. We build in short sprints, test with real data, and iterate based on your feedback — so you see progress every week, not just at the end.
Weeks 3–6
The longest phase — because this is where the real work happens. Weekly demos keep you in the loop throughout.
Building in the open
No disappearing into a black box for months. You'll see working software from week one of the build phase, with regular demos and opportunities to steer direction.
What Aptimate Does
- ● Build the core AI pipeline and integrations
- ● Run weekly sprint demos with working features
- ● Test with your real data (anonymised where needed)
- ● Measure accuracy, performance, and edge cases
- ● Iterate based on feedback — adjust prompts, models, and logic
- ● Write documentation and test suites as we go
What You Provide
- ● Attend weekly demo sessions (30–45 mins)
- ● Provide feedback on outputs and edge cases
- ● Test data and sample workflows
- ● Identify edge cases and exceptions from your domain expertise
Your domain knowledge is irreplaceable. We know AI — you know your business. The best systems come from combining both.
Deliverables
- ● Working system — deployed to a staging environment, tested with real data
- ● Test results — accuracy metrics, performance benchmarks, and edge case analysis
- ● Technical documentation — API specs, data flow diagrams, and operational runbooks
- ● User guide — how your team uses and manages the system day-to-day
- ● Before/after comparison — quantified improvement against the old process
Common questions
How do we provide feedback?
Weekly demos are the primary touchpoint — we show what's been built, you tell us what works and what doesn't. Between demos, you'll have a shared Slack or Teams channel with direct access to the engineering team. No ticketing systems or support queues.
What happens if accuracy isn't good enough?
We set accuracy targets upfront and measure continuously. If a model isn't hitting the mark, we'll try different approaches — fine-tuning, prompt engineering, different model providers, or hybrid rule-based fallbacks. We don't ship until accuracy meets the agreed threshold.
Can we see it before it's finished?
Yes — that's the whole approach. You'll see working features from the first sprint (typically week 3–4 of the engagement). Each week adds more capability. By the time we reach "done," you've already been using and shaping the system for weeks.