Engagement lead
Owns the business KPIs and coordinates the whole project.
Deployment
Local teams, real results.
We don’t ship software and leave. Local engineers sit with your team until AI delivers real numbers, then hand over the capability.
Roadmap
From idea to production in around 12 weeks.
Typical timeline for the first use case. Later use cases move faster by reusing the platform.
Weeks 0–2
Discover
Pick the use case with the clearest ROI, map processes and systems, agree on success metrics.
Weeks 3–8
Build
Connect data, design skills and test against thousands of real conversations before launch.
Weeks 9–12
Go live
Roll out by traffic cohort with human oversight, scaling once quality thresholds are met.
Ongoing
Hand over & scale
Train your teams to own the platform and expand to the next use case.
Team
The people who will sit at your table.
Deployment AI engineers
Integrate systems, build skills and optimise agents.
Domain experts
Deep knowledge of your industry’s processes and regulations.
Conversation designers
Design scripts, voice and language experience.
Handover
Our goal: you need us less and less.
Capability is transferred in stages until your team runs and scales the platform on its own.
- Hands-on training on your own project
- Complete documentation, processes and toolkits
- SLA-backed support after handover
FAQ
Frequently asked questions
Does the team work at our office?
A mix of on-site and remote depending on the phase. Discovery, go-live and training usually happen in person.
Which people do we need to provide?
A business owner, a technical owner and access to the relevant systems.
How is deployment priced?
By use case scope and deployment model. Contact us for a tailored proposal.