Hands-on architecture consulting that ships machine-readable, validated YAML models — not slide decks. The deliverable keeps working after the engagement ends.
Most architecture consulting splits two ways. Training-first players (DDD trainers, methodology workshops) teach you how to think about architecture. Advisory-first players (consulting peers, big-firm architecture reviews) deliver opinions and reports.
Neither leaves executable architecture behind. The slide deck goes stale within a quarter; the wiki page within a sprint.
We sit in the gap: hands-on consulting that ships machine-readable, validated architecture as the engagement output — so the model keeps working after the engagement ends.
Different roles, same underlying need: a defensible, current architecture picture you can act on without weeks of internal archaeology.
Mid-market SaaS scaling past 50–500 people. You need outside architecture perspective for scaling, modernisation, or pre-acquisition readiness.
You feel the daily pain of tech debt, unclear boundaries, and inconsistent documentation. You bring the architect in.
You need a rapid architecture assessment for an investment or acquisition decision, on a deal timeline.
You are building an internal developer platform and need methodology and tooling guidance grounded in shipping work, not consultancy decks.
Seven offerings grouped by the buyer-intent moment they fit. All bring the same toolchain (Archally) under the hood, so outputs stay machine-readable and validated.
Short, scoped engagements that give you a defensible picture of architecture risk before a major decision.
Rapid health assessment of an existing system. Risks, prioritised recommendations, executive summary. Not a 60-page report.
Best for: Teams that need a defensible read on architecture risk before a major investment, hire, or transformation decision.
Architecture assessment for investment, acquisition, or strategic decisions. Findings cite system evidence, not the target team's narrative.
Best for: Investors, acquirers, and executives who need an objective architecture picture inside a deal timeline.
Engagements where the deliverable is a working, machine-readable architecture model — not a slide deck.
Architecture design for a new product or major modernisation. Outputs are machine-readable: a validated YAML blueprint that generates diagrams, contracts, and decision records from one source.
Best for: Teams shaping a new product, planning a major refactor, or rebuilding documentation that has decayed.
Architecture-as-code engagement using Archally schemas: bounded contexts, aggregates, events, commands, rules, decisions, test cases. Also applicable to brand modeling, IDP construction, and legacy system audit.
Best for: Organisations that want a long-term architecture knowledge graph, not just a project deliverable.
Facilitated domain discovery for complex problems. Event Storming, DDD strategic sessions, user story mapping, value stream mapping, and capability mapping.
Best for: Teams facing an unclear domain, a strategic pivot, or a stakeholder alignment problem.
Continuous arrangements for teams who want sustained architecture discipline without a full-time hire.
Sustained architecture presence without a full-time hire. PR reviews, design sessions, ADR maintenance, and live evolution of the architecture model as the system changes.
Best for: Teams that need an architect's discipline without the cost or commitment of a full-time hire.
Hands-on training for teams adopting specification-driven development. YAML schema design, validation pipelines, contract generation, and living documentation practices. Tailored to your stack and domain.
Best for: Engineering teams that want to adopt blueprint practices in-house instead of outsourcing them.
Most consulting deliverables decay within a quarter. Slide decks gather dust. Reports become reference fodder. Wiki pages drift.
Engagements ship something different: a validated YAML model that generates diagrams and contracts, validates in your CI, and evolves with the system because change is expressed as structured migrations.
Your domain — bounded contexts, operations, rules, decisions — as typed YAML. Validates against published schemas. Lives in your Git alongside the code.
OpenAPI 3.1 specs, AsyncAPI 3.0 contracts, interactive diagrams, Architecture Decision Records — all derived from the model. When the model changes, every artifact updates. See multi-format generation for the full emit pipeline, time-travel modes, and viewer surfaces.
Optional MCP server gives both your team and your AI agents a consistent, queryable source of architectural truth. The model becomes shared context for humans and tools.
Outputs ship to your repository, not ours. We optionally train a designated owner so the model evolves after we leave — no vendor lock-in, no decay clock.
Four steps. No mystery. Engagements are visible to you week by week — you do not wait for a final reveal.
30 minutes. You bring one active change initiative. We map what is in scope, what is in your way, and whether one of the engagement models above fits.
Within one business day, you receive a written proposal: scope, deliverables, timeline, fixed price (where possible), and what you bring to the engagement.
Weekly checkpoints. You see the model, decisions, and artifacts as they are produced — not at a final reveal. Scope changes are negotiated as written amendments.
All outputs (YAML model, generated artifacts, decision records) live in your Git, owned by your team. We optionally train a designated owner so the model evolves after we leave.
30-minute discovery call. You bring one change initiative; you leave with a comparison plan and a written proposal within one business day.
Capacity is intentionally limited to three or four concurrent engagements.