Overview#
An operations team managing a multi-agency emergency coordination centre needs to automate handoff procedures between triage, dispatch, and follow-up stages without relying on bespoke scripting for every scenario. The AI Workflows Builder allows analysts to design, test, and deploy those multi-step automated processes through a visual canvas, with an integrated evaluation layer that scores each workflow version against real operational outcomes before it reaches production.
Beyond initial design, the evaluation engine continuously monitors live workflow runs and surfaces regression signals when model behaviour or data conditions shift. Teams can compare workflow versions side by side, inspect individual step outputs, and iterate rapidly, all within a governed, multi-tenant environment that maintains strict data segregation and a full audit trail.
Key Features#
- Visual Workflow Canvas: A drag-and-drop interface for composing multi-step AI pipelines, including conditional branching, parallel execution paths, and human-in-the-loop approval gates.
- Integrated Evaluation Engine: Automated scoring of workflow runs against defined test suites, acceptance criteria, and historical baselines before any version is promoted to production.
- Version Comparison: Side-by-side diff of workflow versions, including per-step latency, token usage, and accuracy metrics, allowing teams to validate improvements objectively.
- Drift Detection and Alerting: Continuous monitoring of live workflow outputs for statistical drift in model responses or data distributions, with configurable alert thresholds.
- Multi-Tenant Isolation: All workflow definitions, run histories, and evaluation results are scoped to the owning organisation, with row-level access controls enforced throughout.
- Full Audit Trail: Every workflow creation, modification, execution, and evaluation outcome is recorded in an immutable log, supporting compliance review and incident investigation.
- Reusable Step Library: Shared catalogue of pre-built, organisation-approved AI steps and data connectors that teams can compose without duplicating configuration.
- Role-Based Access Controls: Granular permissions govern who may design, evaluate, publish, or only view workflows, aligned to organisational structure and clearance levels.
Use Cases#
- Automating multi-agency emergency coordination handoffs, including triage classification, resource dispatch, and post-incident follow-up notification.
- Building and continuously evaluating AI-assisted document review pipelines for legal, procurement, or regulatory compliance teams.
- Orchestrating intelligence summarisation workflows where outputs are scored against analyst-defined quality rubrics before delivery.
- Designing patient-pathway automation in healthcare settings, with evaluation steps that verify clinical decision logic against approved protocols before go-live.
- Rapidly iterating on customer service automation flows using evaluation datasets drawn from real interaction histories, reducing regression risk on each update.
Integration#
The AI Workflows Builder connects to the platform's core API gateway to receive trigger events, submit step results, and publish evaluation scores. Data connectors support ingestion from relational databases, object stores, and message queues, while outbound actions can invoke webhooks, write to structured stores, or trigger notifications across the platform's omnichannel layer. Evaluation results and run telemetry are exposed via standard query interfaces, enabling external observability tools and dashboards to consume workflow health metrics without bespoke integration work.
Open Standards#
- BPMN 2.0 (OMG): Workflow definitions align with the Business Process Model and Notation standard, ensuring portability and compatibility with third-party process modelling tooling.
- OpenTelemetry (CNCF): Step execution traces and metrics are emitted in OpenTelemetry format, enabling integration with any compatible observability backend.
- OAuth 2.0 / OpenID Connect (IETF RFC 6749, RFC 8414): All API access for workflow triggers and integrations is governed by standards-based token issuance and introspection.
- JSON Schema (IETF): Workflow input and output contracts are defined and validated using JSON Schema, enabling automated compatibility checks across step boundaries.
- CloudEvents (CNCF): Inbound triggers and outbound notifications conform to the CloudEvents specification for interoperable event routing across heterogeneous systems.
- ISO/IEC 27001: Audit logging, access controls, and data handling within the workflow engine align with information security management requirements under this standard.
- ETSI EN 301 549: Accessibility requirements for the visual workflow canvas are assessed against this European standard for ICT products and services.
Availability#
- Enterprise Plan: Included
- Professional Plan: Available with a limit on concurrent published workflows and evaluation run history retention; contact sales for higher quotas.
Last Reviewed: 2026-05-26