AI · .NET · AzureGlobal Mediation
An AI scheduling engine that negotiates SEND mediation dates across five participant types — with policy and local authority rules held as data.
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How We Build Software Now
Software at AI speed.
Built to hold up in production.
Senior-led delivery pods, priced on outcomes — not hours.
3–5 daysTypical delivery for a well-scoped featurevs ~2 weeks traditionally
Fixed feeEvery engagement priced on outcomesno timesheets, no drift
ISO 42001 & 27001Governed & independently auditedAI management + information security
The Problem
AI made writing code cheap.
It didn't fix delivery.
When AI generates code faster than your team can review, test, and ship it, the bottlenecks don't disappear — they shift. The tooling isn't the problem; the delivery model is.
PR reviews slow down
QA becomes the constraint
Docs lag behind
Incident risk rises with speed
The Model
We no longer sell hours.
We sell outcomes.
Hours are a poor measure of value when tooling variance dwarfs individual skill variance. Rather than layer AI onto existing team shapes and quietly bank the margin, we rebuilt how we compose teams, govern AI, and structure engagements — and we're transparent about all three. This isn't a side offering; it's how we build software now.
Traditional agency
- ×Project manager + multiple dev tiers
- ×QA as a separate phase
- ×Hours billed, outcomes assumed
- ×AI layered on quietly for margin
Bitcube pod
- ✓Senior-weighted pod, no bloat
- ✓Dual peer review built in
- ✓Fixed-fee outcomes, no timesheets
- ✓ISO 42001-governed AI, transparently
How We Deliver
A senior-weighted pod, built to review its own work.
Every engagement runs on the same four-role pod — senior throughout — backed by shared tooling, prompt templates, and review checklists that compound across projects.
Client Lead
Part-timeOwns the engagement end-to-end and is your decision-making point of contact.
Lead Orchestrator
Full-timeSenior engineer who sets technical direction, reviews output, and owns what ships.
Orchestrators
Full-time ×2Two senior engineers who direct the AI tooling and peer-review each other's work.
QA Engineer
Part-timeOwns test strategy, automated testing, and release readiness.
Scoping is heavier
We spend more time upfront getting the specification sharp. In return, build is faster and scope creep is rarer.
Review is explicit
Every substantive output is reviewed by a second senior engineer. AI code can look right while being subtly wrong — we treat that as a first-order concern.
Velocity is different
A well-scoped feature that would have taken a traditional team two weeks is often delivered in three to five days.
Proof & Governance
Safe at production scale.
Your IP stays in your boundary.
Security and AI governance are contractual commitments, not settings. AI tooling operates within your data boundary; no client code, credentials, or business logic trains external models; oversight and accountability are documented before build begins.
- ISO 42001 · AI Management — Responsible-AI management — risk assessment, human oversight, data-boundary controls, and accountability for what ships.
- ISO 27001 · Information Security — How client data, credentials, and source code are handled and protected across every engagement.
- Cyber Essentials · UK Gov Certified — Baseline endpoint, network, and access security across our operating environment.
- IASME Cyber Baseline · Supply Chain — Organisational and supply-chain controls, relevant for regulated-sector procurement.
Every engagement includes
- Senior-weighted pod — three senior / senior-mid engineers and a part-time QA Engineer
- Dual peer review on every substantive piece of output
- ISO 42001 & ISO 27001-governed delivery — documented data handling and human oversight
- A named Client Lead as your decision-making point of contact
- Fixed-fee, transparent commercials — no timesheets, no hidden budget drift
Failure modes we prevent
×Engineers don't trust the agents yet
✓AI involvement is explicit in every review — the team sees what was AI-assisted and how it was checked.
×Output isn't reviewed and errors compound
✓Dual peer review on every substantive output is structural to the pod, not optional.
×Compliance flags the model months in
✓ISO 42001 governance is documented before build starts — contractual, not retrofitted.
How We Engage
Three ways to work with us.
Matched to where you are — testing the relationship, committing to a build, or running an ongoing partnership. Every engagement is fixed-fee and quoted after a short scoping call, so you have indicative figures before you commit — no timesheets, no drift.
Sprints
Step 12–6 weeks
A working proof of how we deliver before you commit to a build — real software you can act on, not an assessment. If it converts to a Programme, part of the fee is credited against the build.
Programmes
Step 2A defined build
Discovery-then-build under one fixed fee: a written specification before build, senior-led pod delivery, and a post-release stabilisation window.
Continuity
Step 3Ongoing
Guaranteed delivery throughput per cycle for live products — from steady-state maintenance through active roadmap delivery.
Questions We Get Asked
Straight answers.
Related Work
Proof, not promises.
AI in production, with the guardrails that make it safe to ship.
See it before you commit.
Start with a short, fixed-fee Sprint and watch the model produce working software — before you commit to a full build. Or book a free AI readiness review and we'll map the fastest path for your team.
Book a free AI readiness review