Product family
Product conceptWorkflow Automation Hub
Put AI where it helps, and keep deterministic steps deterministic.
An orchestration layer that combines classic workflow automation with AI steps for reading, classifying and drafting, plus approvals, retries and monitoring.
Product concept. This is not a self-serve product yet. There is no public account, live dashboard or price list; we deliver it as a configured build and will show you the architecture, not a staged demo.
/ 01Overview
What it is and why it matters
Many problems sold as "agentic AI" are better solved by a workflow with one or two AI steps. If the path is known, a deterministic workflow is cheaper, faster and easier to audit. AI is best used for the parts that need judgement over unstructured input: understanding an email, classifying a request, drafting a response.
The Workflow Automation Hub concept treats AI calls as typed steps inside an orchestrated flow. Each step has an input schema, output schema, timeout, retry policy and fallback. Approvals are first-class steps. Every execution is traceable from trigger to final system update.
We deliver it as a configured build, often on top of orchestration tools you already own, and we will tell you when an existing platform is enough.
/ 02Features
How it works
01
Typed AI steps
Model calls return structured data validated against a schema; invalid output triggers a retry or a fallback path.
02
Event triggers
Start flows from email, webhooks, schedules, queue messages or record changes in your business systems.
03
Human approval steps
Route decisions to the right person with context, deadlines and escalation if nobody responds.
04
Retries and idempotency
Steps can be retried safely without duplicating side effects such as payments or emails.
05
Execution tracing
Each run shows inputs, outputs, timings and costs per step for debugging and audit.
06
Reusable building blocks
Common steps such as summarise, classify, extract and draft are shared across flows with their own tests.
/ 03Actual capabilities vs roadmap
What a first release includes, and what it does not
In scope for a first build
- Event-driven orchestration with AI and rule steps
- Schema-validated model outputs
- Approval and escalation steps
- Run tracing and alerting
- Connectors to common business systems
Roadmap, not yet delivered
- Flow templates for frequent back-office processes
- Business-user editing of rules and thresholds
- Simulation mode against historical data
/ 04Use cases
Where it earns its keep
Inbound email processing
Requests arriving in shared mailboxes are classified, enriched and turned into correctly routed tickets or records.
Lead qualification
New enquiries are enriched, scored against your criteria and assigned, with a drafted first response for the owner.
Report assembly
Monthly reporting packs are compiled from systems and drafted commentary is prepared for analyst review.
Related solutions: Sales & Lead Operations, Document & Back-office AI, Finance & Compliance
/ 05Integrations
Connects to the systems you already run
Listed systems are integration targets reached through their documented APIs. Their mention does not imply a partnership or endorsement.
Orchestration
- Temporal, Airflow or Prefect
- Power Automate, n8n or Zapier where already in place
- Cloud-native queues and functions
Business systems
- CRM, ERP and HRIS
- Email and calendar
- Document storage
/ 06Security and governance
Designed for oversight
- Service credentials are scoped per flow and stored in a secrets manager.
- Personal data minimisation: AI steps receive only the fields they need.
- Full execution logs support audit and incident investigation.
/ 07Demo
No live product demo yet
There is no live demo of Workflow Automation Hub because it is not a released product. We can walk you through the architecture and a scoped first build instead.
/ 08Pricing or quote
Priced to your scope, never invented
Scoped per engagement. We often reuse your existing automation platform, which affects cost more than anything else.
/ 09FAQ
Questions about Workflow Automation Hub
How is this different from an AI agent?
A workflow follows a defined path with AI handling specific steps. An agent decides its own path. Workflows are easier to test and audit, so we recommend them whenever the process is known.
Can you work with our existing automation tool?
Usually yes. If your platform can call APIs and handle approvals, we add AI steps and evaluation around it instead of replacing it.
What if the AI step fails?
Each AI step has validation, retries and a fallback such as routing to a person, so a model error never silently corrupts a record.
Related services
- Service / integrateAI Workflow & CRM/ERP IntegrationBring AI into the CRM, ERP and service platforms where work already happens.
- Service / integrateAPI & Legacy System ModernisationExpose legacy capabilities through clean, secure APIs so AI and modern apps can use them safely.
- Service / buildAgentic AI & Multi-Agent SystemsAgents that use tools to complete multi-step work, engineered with limits, approvals and evaluation.
Explore Workflow Automation Hub with our team
A 45-minute conversation with an engineer: your workflow, the architecture, the risks and what a first version would include.