AI Integration
Into the systems you already run
The hard part is rarely the model. It is authentication, rate limits, failure behaviour and the twelve-year-old system of record that has opinions. We do that part.
Capabilities
What this actually includes
The concrete pieces of work, so you can tell what you are buying rather than inferring it.
System-of-record integration
Safe reads and writes against ERP, CRM and core platforms, with idempotency and reconciliation built in.
Identity and permissions
AI features that inherit your existing authorisation model rather than working around it.
Resilience patterns
Timeouts, retries with backoff, fallbacks and circuit breakers on every model call, so a provider outage degrades instead of failing.
Latency engineering
Streaming, caching and speculative execution to keep interactive features responsive under real network conditions.
Legacy adapters
Clean interfaces in front of systems that cannot change, so the AI layer is not coupled to their quirks.
Rollout controls
Feature flags, per-tenant enablement and kill switches that let you move at the pace your customers tolerate.
How we work
The sequence we follow
Map the seams
We trace the existing flows and find the integration points where a capability can land without a rewrite.
Contract first
Interfaces agreed and stubbed before implementation, so parallel teams are not blocked on each other.
Build behind a flag
Everything ships dark. The flag, not the deploy, decides who sees it.
Harden the failure path
We test the provider outage, the rate limit and the malformed response before we test the happy path at scale.
Roll out per tenant
Staged enablement with monitoring on latency, cost and error rate at each step.
Outcomes
What good looks like
Illustrative targets from engagements of this shape. Yours get agreed up front and measured.
0
core-system rewrites required
0.0%
feature availability through provider incidents
0 weeks
median time to first integrated capability
Toolkit
What we build with
Chosen per engagement against your constraints — never a house stack applied regardless of fit.
Integration
- REST
- GraphQL
- gRPC
- Webhooks
- Message queues
Platforms
- Salesforce
- SAP
- Dynamics
- ServiceNow
- Custom cores
Resilience
- Circuit breakers
- Idempotency keys
- Dead-letter queues
Rollout
- LaunchDarkly
- Custom flags
- Per-tenant config
- Kill switches
Questions
Things clients ask first
Usually, yes — by putting a clean adapter in front of it and never letting the AI layer touch it directly. We treat the legacy system as a fixed constraint rather than something to fight.
Keep exploring
Related capabilities
Tell us what you are trying to build
A short call with an engineer, not a sales team. If we are not the right fit we will say so and point you somewhere better.