Home / Process
How we work

No black boxes. Ever.

Hiring a software partner shouldn't feel like a leap of faith. Here is exactly how a project with 3Bees Labs runs — the phases, the principles, and the honest limits.

The process

Five phases, zero surprises.

01

Discover

We learn your business before we touch code: goals, users, constraints, data, and where AI or software creates the most leverage. You get a written findings brief — and an honest verdict on whether the project should exist at all.

Deliverable: findings brief + clear proposal
02

Design

Prototypes you can click and architecture you can question. For AI projects, this includes evaluation criteria and guardrail design up front. Nothing moves to build until you love the direction.

Deliverable: clickable prototype + technical architecture
03

Build

Working software, demoed regularly. You see real progress as it happens, steer priorities, and never wonder what's going on. AI systems get evaluated continuously against real test cases.

Deliverable: working demos you can try
04

Launch

Hardened, tested, and shipped — to the App Store, the web, or your infrastructure. Phased rollouts for AI features, with monitoring from minute one.

Deliverable: production release + runbooks
05

Scale

We monitor, iterate, and add capabilities as your users grow — or hand everything over cleanly with documentation your team can run. Your call, supported either way.

Ongoing · Deliverable: iteration plan or clean handoff
How we operate

What you can expect.

The principles behind every engagement.

Clear scope before we start

You approve the plan, the milestones, and the deliverables before work begins. If scope changes, we re-quote in writing — never silently billed.

You own the work

The IP, code, prompts, pipelines, and documentation transfer to you — with a clean handover your team can actually run. Third-party services run under your accounts.

Demos of working software

You regularly see software that runs — not status reports. If a stretch passes with nothing to show, something is wrong, and we'll be the first to say it.

Honest no

If we're not the right fit — wrong tech, wrong timeline, wrong problem — we'll tell you in the first conversation and point you toward what is.

Engagement models

Pick your shape.

Defined scope

AI Opportunity Audit

Workflow analysis, data inventory, and a prioritized, costed AI roadmap. The cheapest way to get an expert answer on "where does AI pay for us?"

Milestone-based

MVP Build

A launchable product or AI system in weeks, not quarters. Clear pricing, regular demos, your IP, launch support included.

Monthly · dedicated team

Product Team

Design, engineering, and AI talent embedded with yours — a full product team without the hiring cycle.

Flexible · advisory

Consulting

Audits, architecture reviews, and on-call expert judgment for the decisions that are expensive to get wrong.

Honest limits

Who we're not for.

Fit matters more than pipeline. We'll be direct if any of these are you.

Rush jobs with no scope

"We need it in two weeks, we'll figure out what it is later" is how projects die. We scope first, always.

Cheapest-bidder shopping

If the decision is purely price, a race to the bottom serves neither of us. We compete on judgment and craft.

AI magic without data

AI needs something to work with — data, users, or a real workflow. If there's nothing to ground it in, we'll say so.

Sound like your kind of process?

Start with a free consultation. We'll map the opportunity and give you a clear plan — or an honest no.