How we work
The Δ Method.
We start from your business, not from a template.
Four stages, each with a deliverable and a gate to move on. The first one measures the before. The last one measures the after.
The four stages
From a measured before to a measured after.
Every stage ends with a deliverable and a gate. We only move on when the decision maker approves the gate.
Stage 01Measure the before
Measure before designing.
We measure the starting point and learn the problem inside your operation. The design starts from scratch, from your business.
What we do
- A measured diagnosis of site, systems, data and funnel
- Talks with the people who use it and the people who decide
- A result letter, written before any code
- You get
- Measured baseline and the result letter
- Typical timeline
- 1 to 2 weeks
- Gate to move on
- Baseline measured and problem approved by the decision maker.
Stage 02Design
The hard part, proven first.
We decide what goes in and in what order, and prove the hard part in a prototype before building the rest.
What we do
- A roadmap in cycles, with one metric and one owner per front
- A clickable prototype tested with real users
- 20 to 50 real cases with the right answer to evaluate the AI
- You get
- Roadmap, prototype and AI evaluation cases
- Typical timeline
- 2 to 3 weeks
- Gate to move on
- Prototype approved and every risk answered.
Stage 03Build to measure
You watch the product move.
Short cycles with a demo at the end of each one, and a monitored launch with a guaranteed rollback and engineering beside you.
What we do
- A review on every change and automated end-to-end tests
- Speed, accessibility and security checked on every delivery
- Daily backup with tested restores, and a trained team
- You get
- Software live, monitored, and the team trained
- Typical timeline
- cycles of up to 6 weeks
- Gate to move on
- Quality gate and readiness review passed.
Stage 04Measure the after
The after, with the same method.
The same measurement as the start, 30 days after launch. The next cycle is decided with a number.
What we do
- The baseline measurement, repeated
- Actual return against the estimate
- AI evaluated in production on every change
- You get
- The Δ measured, with source and date
- Typical timeline
- 30 days after launch
- Gate to move on
- Result measured and presented to the decision maker.
Typical timelines. Your project’s timeline comes out of the diagnosis and goes into the proposal.
AI in production
Why our AI makes it past the pilot.
Five rules apply to every agent we ship.
One flow, one metric, one owner
One process, one number that matters and one person responsible for it.
Real cases before code
Without cases that have the right answer, the agent does not start.
A person at the decision point
The agent prepares and suggests. Where there is risk, a person approves.
Cost per task measured
You know what each conversation costs.
Tested on every change
New model or new instructions? The cases run again before release.
Human support
One person beside you, from first contact to after launch.
No tickets, no queue. Whoever answers knows your system.
One person you know
The same name from start to finish, on a direct channel.
Something working at every step
You watch the product grow, not a status report.
Response times in the contract
Each level of severity has its own written deadline.
Backup and monitoring
An alert when something goes down, before your customers notice.
Talk to Kadelta
What’s your before?
A 30-minute conversation to measure where you are today.