We are operators, product builders and engineers. We help you decide what is worth building, then turn it into a working application, platform or backend system.
Two ways to start. The same senior team from the first conversation to production.
Path A · Discovery / Strategy
A two-week Discovery Sprint turns an important but unclear opportunity into priorities, success measures, architecture, a roadmap and a build-ready SOW.
Path B · Defined SOW
Bring us the SOW. We pressure-test the outcome, data, risks and delivery plan, then move into two-week build sprints.
What we build
Strategy, product and experience engineering, applications, backend systems, deployment, hosting, maintenance and training. We stay through the part where the system has to work inside the business.
Working software for customers, employees and operators.
The services, data flows, agents and controls behind the experience.
On-premises or local deployments when the security and data model require them.
Practical training, documentation, hosting and maintenance shaped around the team that will own the system.
The delivery rhythm
We define success before we start. Then we build in two-week sprints so you can see the work, measure value and decide what earns the next sprint.
Agree on the outcome, constraints and success measures.
Choose a bounded outcome and write the production code required to deliver it.
Put working software in front of the people who will use it.
Compare the result with the baseline and measures agreed at the start.
Release, improve, extend or stop. You own the decision.
No quarter-long wait for a demo. The work is visible every sprint.
Path A · Discovery / Strategy
Discovery turns an important but undefined opportunity into a roadmap you can act on.
Workflows, systems, decisions, exceptions and pain. We find where better information, judgment or automation can change the outcome.
Name the baseline, success measures and constraints before choosing the architecture.
Shape the experience, data, architecture, delivery plan and cost.
Before we advised other teams, we built AI guest-service software and ran the operation ourselves. Customer enquiries arrived in real time, and the edge cases came to us. We then co-built Operto's six-agent AI platform, from first sprint to production in twelve months.
That experience shapes how we scope, build and support systems. Uptime, handoffs, maintenance and the people left holding the system after launch are part of the product.
Phase 1 is not a prototype. We build functioning applications, platforms and backend systems in two-week sprints. Each sprint ends in working software you can review against the agreed measures; Phase 1 ends in a production release.
In Phase 2, we can host and maintain the system, tune what runs, add the capabilities the numbers justify, and train your team to take on more of the controls.
Google, Microsoft, Anthropic or another suitable provider. We choose the stack for your environment, security requirements and economics. Where portability matters, we design clear provider boundaries and fallback paths so one model does not become the whole product.
The code, architecture, prompts and decisions are documented. No black-box handover.
Provider-specific services are separated where switching needs to remain possible.
We can design on-premises or local deployments for environments that cannot send sensitive work to public services.
Hosting, maintenance and continued evolution can be scoped around the system.
You work directly with a small senior team across strategy, operations, product and engineering. We make decisions together, keep progress visible and document as we go.
At the start, we agree what value looks like: time returned, errors reduced, response improved, risk controlled or a decision made faster. The metric belongs to the project, not to a generic AI promise.
| Sprint goal achievement | ≥ 85% |
|---|---|
| Defect escape rate | < 5% |
| Documentation at handover | 100% |
| Stakeholder satisfaction | ≥ 8/10 |
Before we start
The practical answers, without a sales detour.
Then we say so. Discovery exists to test fit before a long build. You leave with the evidence and a go/no-go you own.
No. Path B starts from your defined SOW. We pressure-test the outcome, data, risks and delivery plan, then prepare the build.
Each sprint ends in a functioning increment you can review against the agreed measures. Phase 1 ends in a production release, not a prototype.
Yes, when the requirements support it. We work across providers and can design cloud, on-premises or local deployments. The exact infrastructure and security boundaries are defined in the SOW.
You do. The IP, code, data, prompts, systems and documentation stay with you.
No. Your data stays yours.
Yes. Training, documentation and handover can be part of delivery. Hosting, maintenance and continued evolution can be scoped after launch.
It is scoped in your SOW and billed by sprint. Discovery grounds that number in the work, requirements and measures we agreed together.
We'll tell you what is worth building, what it will take and how we would start.
Thirty minutes with a senior builder, not a salesperson.
