Dezigndia Technologies

How we work

Three ways to start. One set of principles.

Every engagement is led by a principal, not handed to a delivery manager sitting in front of a bench. If you are in a working session with us, the people in it are the people building your system.

01

Build

Fixed scope, fixed price, 4–6 weeks to a working MVP.

Weekly sprints. Week 1 discovery, week 2 a tested prototype, weeks 3–5 build, week 6 hardening and launch. You see working software every week. Scope moves, dates do not.

Model
Fixed Cost for defined scope. Dedicated Team where you want continuity and control.

02

Modernize

Legacy and manual operations rebuilt in slices.

We map what exists before proposing what replaces it. Each slice delivers something usable and each one is reversible. The first slice is chosen for visible relief rather than architectural elegance, because that is what keeps a multi-year program funded.

Model
Agile Time & Material for phased programs. Dedicated Team for long-running modernization.

03

Extend

An embedded pod, or managed services on what you already run.

A hand-picked team that works as an extension of yours, with your workflow and your priorities. Or application support and managed services once a platform is live, so it keeps working when the people who built it have moved on.

Model
Dedicated Team, or a managed services agreement.

Build

Four to six weeks to a working MVP.

Run as weekly sprints with AI coding agents drafting and engineers deciding. Discovery and a tested prototype come first, because the feature nobody wanted is cheapest to remove before it is built.

An MVP in four to six weeks Weekly sprints. Discovery in week one, a tested prototype in week two, build from week three to five, hardening and launch in week six. Working software is shown every week and a person signs off at each phase boundary. W1 W2 W3 W4 W5 W6 Discovery Prototype Build Launch ● WORKING SOFTWARE SHOWN EVERY WEEK, HUMAN REVIEW AT EACH PHASE GATE
Scope moves, dates do not. Six weeks shown; four when the scope is tight. Indicative, depends on requirements and complexity.

First engagement

Your first seven days are on us.

Plan, strategy and solution architecture, before any commitment. It is how we find out whether the problem is worth solving, and how you find out whether we are the people to solve it.

The first seven days Day one to two, mapping the current process. Day three to four, finding the expensive workflow and measuring it. Day five to seven, a plan, a solution architecture and a price. MAP days 1–2the process as it runs today MEASURE days 3–4where the time and money go PLAN days 5–7architecture, sequence, price
On us. You keep the plan and the architecture whether or not you engage us.

Engagement models

Three ways to contract.

ModelWhen it fitsWhat you get
Fixed Cost The workflow is well understood and the scope can be written down. A price, a date and a defined deliverable.
Agile Time & Material Scope will move as the work uncovers things. Most data and modernization work. A senior team billed for time, with a biweekly demo and the right to stop.
Dedicated Team You want continuity, control and a team that learns your business. Named people, embedded in your workflow, for as long as the program runs.

Rates depend on team composition and duration and are quoted per engagement.

Principles

Principles, not a methodology deck.

  • Find the expensive thing first. We map what exists and instrument it before proposing to replace it.

  • Ship in slices. Every phase delivers something usable. Nothing runs for a year before it is seen.

  • Automate where it holds, keep people where it does not. Governance and human review are designed in, not bolted on afterwards.

  • Own the outcome. We build it, we support it, and we are still here when it needs to change.

AI-assisted delivery

Faster because agents draft. Safe because people decide.

AI coding agents write the first draft of code, tests, data mappings and documentation. A named engineer reviews and merges every change. That is where the weeks go, and why nothing ships on an agent’s say-so.

What does not compress: access to systems and data, security review, feedback from real users and cutover windows. Our timelines assume access in week one.

Typical MVP, weeks (illustrative)

Traditional plan12 weeks
DiscoveryDesign and prototypeBuildStabilize and launch
AI-assisted, human-reviewed4–6 weeks
Discovery Prototype Build with agents Launch

Human review gate: a person signs off before the next phase starts. Weekly demos throughout. Actual duration depends on requirements and complexity.

  • Agents draft

    First versions of code, tests, API contracts, migrations and docs, generated from the agreed design.

  • Engineers decide

    Every AI-generated change is reviewed, tested and merged by an accountable engineer. Architecture and data decisions stay with senior people.

  • Checks on every commit

    Automated tests, security scanning, dependency and license checks and secret detection run before anything merges.

  • Auditable

    AI contributions are logged against each change. Client code and data are never used to train models.

Next step

Start with the seven days.

Tell us what you are trying to build or fix. We will come back with a plan, an architecture and a price, and you keep all three.

Start a conversation Book a 30 minute call

Your first seven days are on us. Plan, strategy and solution architecture, before any commitment.

Not ready to talk? Take the 8 minute readiness assessment