Architecture that covers the whole system, AI included
Application and infrastructure architecture for modern enterprise systems. Components, topology, data flows, deployment model, and where Claude and agents belong — documented as a buildable package.
Scope of engagement
- Application architecture: service boundaries, APIs, data models, and integration patterns across existing estates.
- Infrastructure architecture: deployment topology, environments, networking, and platform-level controls.
- AI as a first-class concern: where Claude, agents, retrieval, and evaluation fit inside the wider system.
- Integration topology for brownfield estates: how new capabilities slot in without breaking what already runs.
- Data architecture across Cassandra, Kafka, and adjacent stores, with clear ownership and flow.
- Scalability, resilience, cost, and evaluation envelopes documented with explicit trade-offs.
Architecture grounded in real operational systems
Good architecture is shaped by the systems it has to live inside. Our architects have spent years running and designing around Cassandra and Kafka estates in production, so application and infrastructure choices account for the real operational data plane — its latencies, failure modes, and governance — instead of an idealised version. That is what makes the designs hold up when they meet production.
A predictable path from scope to running system
Brief
Structured sessions with engineering, platform, and product stakeholders to understand workloads, constraints, and the existing estate.
Architect
Target application and infrastructure architecture documented: components, data flows, interfaces, deployment topology, and where AI fits.
Review
Architecture reviewed with your engineering, security, and platform teams. Gaps, risks, and open questions surfaced explicitly.
Handover
Deliverables packaged as a buildable design: diagrams, decision records, interface contracts, and acceptance criteria.
What clients walk away with
Buildable architecture
A design your engineering team can act on immediately, with interface contracts and acceptance criteria that remove ambiguity.
Defensible decisions
Every architectural choice documented with the reasoning and trade-offs behind it, so future teams know why the system looks the way it does.
AI in the right place
Claude, retrieval, and agents sit where they belong inside the wider architecture instead of as a bolt-on that fights the rest of the system.
Common questions
Is this an AI-only service?
No. This is general application and infrastructure architecture work, with AI included as a first-class concern. Most modern systems need both, so we scope both.
How is this different from AI Advisory?
Advisory focuses on strategy, operating model, and business outcomes. Architecture is the technical design layer underneath: specific components, interfaces, data flows, deployment topology, and where AI fits inside all of that.
Do you produce working code during this engagement?
Not typically. Architecture engagements end with a buildable design and acceptance criteria. When the next step is delivery, we roll into a Software Engineering, DevOps, or Agent Development engagement with the design as input.
How long does an architecture engagement take?
Three to eight weeks, depending on scope and the number of subsystems. We scope tightly to end with a concrete deliverable instead of an open-ended consulting relationship.
Can you review an existing architecture rather than design from scratch?
Yes. Review engagements follow the same shape and produce the same deliverables, plus a gap analysis against the target state.
Start a conversation
Tell us about the system you're building or the decision you're trying to make. We'll match you with a specialist.