Six outcomes. Delivered.
We work across the full delivery stack — from AI integration to legacy modernisation. Each engagement is scoped to a specific outcome, not billed by the hour.
Six different-shaped engagements. Each built around a single question a team is trying to answer. Read the ones that sound like your situation — and ignore the rest. If none of them quite fit, the senior second opinion at the bottom is the right starting point.
Ship faster
AI-accelerated delivery that cuts weeks off a feature cycle without adding risk.
We use AI across the development workflow — spec to scaffold, test to debug — to compress timelines. Not by cutting corners, but by eliminating the slow parts. The output is working software, not a process report.
- +Team velocity is blocked by repetitive tasks
- +The backlog has 6 months of work and 3 months of runway
- +Features take 2 sprints that should take 1
- +You have a working team that needs to go faster
- +Leadership is asking where the AI productivity gains are
- +You want to embed capability, not outsource delivery
- —Teams that need architecture work first
- —Projects without any existing codebase
Embed safely
Guardrails, evals, and fallback paths built in from day one.
LLMs fail in ways that are hard to predict. We build the observability, fallback logic, and evaluation suite that catches failures before they reach a customer — turning a Friday demo into a system the ops team can actually rely on.
- +An AI feature is live with no monitoring
- +Production AI is making decisions without oversight
- +Evaluation coverage is based on vibes, not metrics
- +You're shipping an LLM-powered feature
- +The team built the happy path but not the safety net
- +You need audit-ready AI decision trails
- —Research or experimental projects not going to production
- —Teams that haven't built the feature yet
Modernise
Replace the tech debt before it stops you shipping.
Legacy systems don't always need replacing all at once. We identify the specific components creating bottlenecks, build the migration path, and execute it without disrupting the live product. Targeted modernisation, not big-bang rewrites.
- +A monolith is slowing down new feature work
- +A migration has been "planned" for 18 months
- +Dependencies are running on unsupported versions
- +You have a working product that needs to scale or evolve
- +There's a specific component that's a known risk
- +You need an incremental path with no production downtime
- —Greenfield projects
- —Systems that need a full rebuild rather than targeted work
Automate
Workflows that run without someone babysitting them.
Manual processes are a cost centre. We identify the repetitive work, build the automation, and make sure it fails loudly when something unexpected happens. The goal is a system you can trust, not one you have to watch.
- +Team time is consumed by manual data processing
- +The same task runs every week because nobody automated it
- +A process has been "we should automate that" for months
- +You have clearly defined processes with predictable inputs
- +Business stakeholders can describe the workflow end to end
- +There are measurable hours of manual work per week
- —Ambiguous processes that change often
- —Tasks that require judgement that hasn't been codified
Structure data
Turn unstructured data into something your systems can actually use.
Documents, emails, call transcripts, PDFs — most business data lives in formats that software can't query. We build the extraction and normalisation pipelines that make it usable downstream, without manual re-entry.
- +Business data is locked in PDFs or emails
- +Reporting has gaps because data doesn't arrive structured
- +Manual data entry is an actual job function
- +You know what structured output looks like
- +There's a downstream system ready to consume the data
- +Input documents have consistent enough patterns to extract
- —Data lake projects without a defined use case
- —Organisations without a clear data consumer
Senior second opinion
A senior engineer in the room before the design is locked in.
Sometimes you need someone who has seen it go wrong before. We review architecture decisions, AI integration plans, and technology choices — and give you an honest read before the commitment is made. No sales agenda. Just the assessment.
- +A major architecture decision is pending
- +An AI feature plan needs a sanity check
- +The team is too close to the problem to see the risk
- +You have competent engineers who want external validation
- +A decision will be expensive to reverse
- +You want an honest assessment, not a sales pitch
- —Ongoing development work
- —Teams looking for ownership, not advisement
How we engage
Outcome-scoped. Fixed-fee. Senior architects throughout.
Every engagement starts with a conversation about the specific outcome you need. The work is scoped against that outcome before any commitment, priced as a fixed fee against the scope, and run end-to-end by the senior architects you'll meet on the first call.
- +Defined before any commitment
- +Outcome-shaped, not time-shaped
- +Written down so both sides can hold each other to it
- +Fixed-fee per outcome
- +No hourly billing
- +No retainers, no minimums
- +Senior architects, end-to-end
- +No sales team between you and the architects
- +The people who scope are the people who build
Not sure which service fits? That's what the second opinion is for.
A short call to understand where you are and what would actually move the needle. No pitch. No proposal unless you want one.
- Format60-min video call
- OutputWritten summary
- CommitmentNone required
- AvailabilityQ3 · open