Less friction.
More business.

You matter to us, because you have a pain we can solve. Remove the manual work and let repeatable processes bring customers onboard — consistently, even when you're not there.

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How you should view it

The Revenue-First AI Automation Process

Hover over any step to see what happens at each stage — and why it matters for your business.

01 Identify Target revenue processes

Spot high-volume, repetitive workflows that directly influence sales velocity, customer onboarding, or service delivery. Map them with stakeholders and set clear KPIs before building anything.

02 Assess Validate data readiness

Confirm your data is accurate, accessible, and governed correctly. Run a proof-of-concept tied to a single revenue metric before committing to a full build.

03 Build Develop focused prototypes

Pilot AI on specific revenue-linked tasks — pricing adjustments, lead qualification, post-sale follow-ups. Measure results before scaling to the wider business.

04 Deploy Integrate and scale

Roll out validated solutions in phases, starting with sales and customer success. Monitor KPIs and gather feedback throughout each wave.

05 Optimize Track & improve continuously

Reassess performance monthly, implement governance frameworks, and shift resources toward the automations delivering the highest ROI.

How we work

Our process

We hold your hand through every phase — from understanding your pain to making sure the solution runs long after we're done.

1

Discover & Diagnose

Find the highest-leverage opportunities

  • Map your workflows and find where time is wasted
  • Prioritise by impact — time saved, errors cut, revenue recovered
  • Define success metrics before we build anything
2

Design, Build & Validate

Build systems that work in the real world

  • Architect a solution that fits your tools and team
  • Build iteratively with your feedback at every step
  • Test against real data before handover
3

Launch, Monitor & Optimise

Reliable systems that keep improving

  • Deploy with monitoring and alerts in place
  • Track performance against the metrics we set upfront
  • Iterate based on real usage — not assumptions
About

Meet the founder

Tiberius Mugendi Asiago

Tiberius Mugendi Asiago

Founder & CEO, Nawiri AI

I started Nawiri AI after watching too many capable business owners lose hours to work that never should have needed them in the first place — manual follow-ups, repetitive posts, the same task every single day.

My goal is simple: help businesses take back control. Not by handing everything to a black box, but by building the right automations that remove the friction. AI doesn't replace you — it works alongside you, quietly handling the consistent work so you can lead.

Let's work together →

Ready to remove
the friction?

Tell us what's slowing you down. We'll show you what's possible.

Let's talk →