The workforce is split into two tiers.
Orchestration agents reason about the case.
They take a goal, decide what's needed, assemble the right specialists, decide when there's enough confidence to act, and decide when to escalate to a human.
Capability agents do specialist work.
Each does one thing — capture data, interpret a contract, score for fraud, calculate a settlement, draft a communication, apply a risk rule — and is reused across every use case.
Beyond the three productised orchestrations, we build new orchestration agents per client use case on the same capability core.
Roughly 75% of every orchestration is shared capability core. The other 25% is configured per use case.
That's why a new orchestration ships in weeks rather than quarters. We're not rebuilding capabilities each time — we're configuring how they're called.
Integration through
a controlled allow-list
Your team explicitly controls what agents can access, write, and execute.
Agents reach your systems through an MCP-based integration layer your team owns and approves.
Every read path is explicit. Every write path is approved per workflow. Sandbox paths are separated from production. Outside the allow-list, the agent has no internet access, no cross-system browsing, no implicit privileges.
System-agnostic. We integrate above your stack rather than inside it. No replatforming required.
AWF Platform
AWF Azure Cloud
Client MCP
Explicit allow-list of tools
Client Internal System
Client-owned environment
Confidence-aware autonomy — the CAIR framework
CAIR — Confidence in AI Results — is the runtime framework that decides, on every decision, how autonomously the agent acts.
Each decision carries a confidence score. The score is checked against a threshold you set.
You set the thresholds. We propose the defaults; your policy defines the limits.
Models drift over time. We commit, contractually, to maintaining your confidence levels — through continuous evaluation against curated test datasets, drift detection, and prompt and model updates managed by us.
System acts autonomously
Full audit trail logged on every decision.
System acts, human can reject
Human reviewer can inspect and reject within the review window.
Human approves first
Full reasoning context and confidence score are presented.
Enterprise readiness
ISO/IEC 27001 certified
Information security management system
ISO/IEC 20000-1 certified
Service management system
GDPR-aligned by design
Privacy and data governance controls
EU AI Act-aligned
Traceability, evaluation and human oversight
Zero Trust architecture
Logical and cryptographic tenant isolation
Multi-LLM by design
No single-vendor model dependency
Customer-owned IP
Your data, configurations and outputs remain yours
Built for regulated enterprise
Multi-tenant SaaS on Microsoft Azure. Architected Zero Trust. Tenant isolation is logical and cryptographic — no cross-customer data flow, no cross-customer training.
Your data, configurations and outputs are your IP. Multi-LLM by design — no single-vendor model dependency.
The agents operate inside a governed service model, with controls maintained continuously as models, prompts and workflows change.