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Project overview
Project overview
We built an automation platform that sits above day-to-day work as the operational layer: processes, channels, and systems resolve into one model of state, ownership, and handoffs.
The platform delivers:
- Orchestrated workflows across departments—not isolated scripts
- A single integration spine for CRM, messaging, databases, and APIs
- AI at decision and intake points, governed and auditable
- One operator control surface for visibility, monitoring, and intervention
Manual work was removed from the critical path where the model allows; everything else is visible, owned, and traceable in one system.
Delivery
How we delivered
Concrete ownership, scope, stack, and team structure—so this reads as shipped work, not a concept deck.
Our role
Draxon owned the platform as a product: workflow and domain modeling, orchestration design, integration contracts for CRM and messaging, operator UX for monitoring and exception handling, and staged rollout with production sign-off on critical paths—not a series of disconnected automations.
Project scope
- Orchestration: cross-team workflows with explicit state, ownership, SLAs, and audit—not isolated triggers.
- Integration spine: CRM, messaging, internal databases, and APIs behind versioned contracts and retries.
- Governed AI at intake and routing: classification and first-line handling with escalation and lineage.
- Operator control surface: queues, aging, exceptions, and drill-down from one console.
- Extensibility: new processes and channels attach without forking the core model.
Technologies used
- Next.js / ReactAuthenticated operator UI; density and hierarchy tuned for control work.
- TypeScript APIsIntegration boundaries, webhooks, and typed events across backends.
- Orchestration servicesState machines, assignments, monitoring, and durable execution.
- AI servicesPolicy-bound assistance at decision points; review paths where risk requires it.
- PostgreSQL + queuesOperational truth, outbox-style handoff, backoff and observability.
Team involvement
- Draxon: delivery lead, senior engineers, integration and QA on workflow regressions.
- Client: operations leadership for acceptance; IT for identity, hosting, and connector constraints.
- Cadence: pilot workflows first, then harden monitoring and expand coverage.
Context
The challenge
Operations ran on manual handoffs and tools that did not share a single picture of work.
The cost showed up as:
- Work routed through people because nothing owned the full workflow
- Slow cycle times where queues had no accountable owner
- Fragmented systems with no spine—every integration a one-off
- No reliable view of pipeline health, exceptions, or aging
- Process drift: the same work executed differently across teams
Scaling meant adding headcount, not tightening the system. That does not survive competitive pressure.
Strategy
Strategic approach
We treated the engagement as a product: an automation and control layer with explicit boundaries—not a bundle of features.
The plan:
- Map end-to-end workflows and replace manual steps with orchestrated execution where safe
- Introduce AI at structured decision and intake points—with escalation rules, not open-ended autonomy
- Centralize integrations behind stable contracts so channels and backends plug into one spine
- Ship one operator UI for monitoring, assignment, and exception handling
- Design for change: new workflows attach without rewriting the core
The architecture is built to absorb roadmap pressure without fragmenting into parallel tools.
Channels
Intelligent intake & channels
Customer-facing and internal channels feed the same orchestration layer. AI classifies, routes, and responds where policy allows; everything else escalates with context—no separate “bot product” off to the side.
In production this means:
- Intake that lands in workflow state—not unmanaged inboxes
- Routing and qualification tied to CRM and ownership rules
- Consistent responses where policy is fixed; human handoff where it is not
- Full lineage from first touch to resolution in one system
Channels are entry points into operations. They are not the platform—they feed it.
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Orchestration
Workflow orchestration
The spine of the system is orchestration: triggers, dependencies, assignments, and state that span teams. Automations are not isolated; they chain into processes that match how the business actually runs.
The layer includes:
- Cross-team pipelines with explicit state—not ad hoc task lists
- Automated assignment and handoffs tied to rules and SLAs
- Live monitoring: what is running, what is stuck, what breached
- CRM and internal tools as participants in the same graph of work
When orchestration is correct, execution gets faster because the system—not email—carries responsibility between steps.
Architecture
Integration spine
External systems plug into a single integration layer. The business does not operate out of five consoles; operators work from one control plane while data and events flow through governed connectors.
Connected domains include:
- CRM and line-of-business APIs
- Telegram, WhatsApp, and messaging endpoints
- Internal databases and services
- Webhooks and API contracts with versioning discipline
The platform is the hub. Integrations are adapters—not the product story.
Product
Operator control surface
Teams do not switch tools to understand what is happening. The interface is built for operations: state, queues, exceptions, and drill-down—minimal chrome, high signal.
Design rules:
- One place to see pipeline health and aging work
- Workflow state you can trust—no shadow spreadsheets
- Fast paths for assignment, override, and audit
- Density tuned for long sessions under load
This is how the organization runs the system—not a marketing layer bolted on top.
Outcomes
Business impact
Outcomes follow when manual execution leaves the critical path and work becomes observable:
- Lower operational load on teams previously acting as routers
- Faster end-to-end execution—fewer waits between owned steps
- Consistent handling: the same workflow rules apply across regions and shifts
- Scalable operations: new volume attaches to orchestration, not headcount linearly
- Infrastructure that extends with new processes without a ground-up rebuild
FAQ
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