We meet you where your stack already is
Three named phases. The same model we already run with customers, described in plain language so you know what to expect on day 1, day 30 and day 365.
Three phases
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01
Phase 1 · Analysis
A comprehensive analysis of your business requirements, with the people who know each system best. AI-assisted discovery accelerates the inventory of source systems and field-level mappings, so a week of staring at API docs becomes a structured conversation with a draft mapping in hand.
- Stakeholder workshops to identify integration goals across departments
- Compatibility assessment of APIs, protocols, data formats and documentation gaps
- Tier scoping per integration point: Basic, Complex or Custom
- A written architecture brief and phased rollout plan you sign off before we build
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02
Phase 2 · Implementation
Design and implementation of the integration services. AI-assisted mapping accelerates the slowest part of the build, the field-by-field translation between foreign systems and the canonical model.
- Routes configured to automate the data flows you signed off on
- Each integration point built, tested and validated against Phase 1 acceptance criteria
- Documentation generated alongside the build, not bolted on at the end
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03
Phase 3 · Deployment
We deploy an instance of EXN alongside the customer-side services. Cutover is planned, typically a parallel run, so the new flow proves itself before the old one is retired.
- Each integration point is turned on one at a time; we measure before moving on
- No big bang. We roll back a single flow without disturbing the others if needed
Phased rollout
We turn flows on one at a time. We measure. We roll back if needed.
Integrations stop being mysteries when they are observed individually, in production, before the next one joins them. By the time the third or fourth flow lands, the operational pattern is well understood and the team is confident.
The day after cutover
01 · Service
One named support contact
A single person who knows your engagement, not a ticket queue.
02 · Service
An SLA
Scoped to your tier and your support model.
03 · Service
The customer portal
See what is happening across every integration in real time.
04 · Service
Post-mortem reports
For every incident, with AI-summarised narratives, so the report is readable rather than log-shaped.
Pre-built reports and integration health, in the portal.