AI Agents

An AI agent purpose-built for your industry that runs autonomously on domain-specific workflows.

What an agent engagement covers, how it runs, and what you hold at the end.

FIT

Whether this applies to you

BUILT FOR

One workflow runs many times a week and follows the same shape each time
Its decisions are real but bounded — someone could write the rules down
The systems it touches expose APIs, not only screens
Occasional errors are recoverable, and you would rather escalate than guess

NOT A FIT WHEN

Every case is different and the judgement is the product
Volume is low enough that a person clears it in minutes a week
Nobody can state the acceptance criteria for a correct outcome

SCOPE

Where the engagement's edges are

IN SCOPE

One named workflow, modelled intake to completion
Decision boundaries, confidence thresholds, and escalation rules
Integration adapters for the systems inside that workflow
A validation harness of production-representative cases
Monitoring, runbooks, and human override

OUT OF SCOPE

A second workflow — a separate scope, built on the same foundation
Replacing the systems the agent integrates with
Decisions your team has not agreed to delegate

WHAT WE NEED FROM YOU

A workflow owner who can adjudicate edge cases
API access to the systems in the loop
A sample of real past cases, including the awkward ones

DELIVERY

How the work runs

Workflow mapping
1 week
Exit criterionThe workflow is modelled intake to completion, with the awkward cases named
Boundary design
3–5 days
Exit criterionDecision boundaries, thresholds, and escalation rules are agreed in writing
Build and integration
2–3 weeks
Exit criterionThe agent completes the standard path end to end against your systems
Validation
1 week
Exit criterionProduction-representative cases pass, and every escalation path has been exercised
Go-live and transfer
3–5 days
Exit criterionRunning with monitoring and override, and your team holds the runbook

Durations are indicative and firm up once mapping is done.

DELIVERABLES

What you are left holding

The running agent, wired into your stack
The workflow model, intake to completion
The decision-boundary specification — thresholds, escalations, fallbacks
A validation harness you can re-run after any change
Run-level traces for audit and reversal
Monitoring, runbooks, and a documented override procedure

SIGNALS

How you would tell it worked

Runs completed without a person
Baseline
Zero at go-live; measured weekly thereafter
Success direction
Up, with escalation quality held
Median intake-to-completion time
Baseline
The current manual path, timed across twenty cases
Success direction
Down
Escalation rate
Baseline
The first month of live running
Success direction
Down, then flat — a floor, not zero
Reversal rate
Baseline
Actions undone after the fact, counted from go-live
Success direction
Down, and close to zero
Coordination touches per case
Baseline
Handoffs counted in the current process
Success direction
Down

OVERVIEW

A vertical agent is an AI system scoped to a specific industry or business function. It handles domain-specific tasks end-to-end — from intake to completion — without human intervention on the standard path. We map your vertical, design the agent's decision boundaries, build and validate it against real workloads, wire it into your stack, and transfer operations to your team.

ARCHITECTURE

The agent is designed as a bounded decision system: explicit policy rails, defined escalation paths, and integration adapters for your existing tools. Every workflow is modelled from intake through execution, with auditability and human override preserved by default. The agent acts inside a declared scope — it does not decide what it is allowed to do at runtime — so its behaviour stays inspectable as the workload grows.

SYSTEM ARCHITECTURE

┌────────────────────────────────────────────────────────────────────────┐
│               INTAKE EVENT  (form · inbox · queue · API)               │
└────────────────────────────────────────────────────────────────────────┘
                                    │
                                    ▼
┌────────────────────────────────────────────────────────────────────────┐
│                         VERTICAL AGENT RUNTIME                         │
├────────────────────────────────────────────────────────────────────────┤
│                                                                        │
│   ┌────────────────────────────────────────────────────────────────┐   │
│   │                          POLICY RAILS                          │   │
│   │     Scope boundary · confidence thresholds · preconditions     │   │
│   └────────────────────────────────────────────────────────────────┘   │
│                                   │                                    │
│                                   ▼                                    │
│   ┌────────────────────────────────────────────────────────────────┐   │
│   │                        PLAN  +  EXECUTE                        │   │
│   │ ┌────────────────────────────┐  ┌────────────────────────────┐ │   │
│   │ │      Decision Engine       │  │    Integration Adapters    │ │   │
│   │ │ branch · retry · fallback  │  │   read · write · notify    │ │   │
│   │ └────────────────────────────┘  └────────────────────────────┘ │   │
│   └────────────────────────────────────────────────────────────────┘   │
│                                   │                                    │
│                                   ▼                                    │
│   ┌────────────────────────────────────────────────────────────────┐   │
│   │                        AUDIT + OVERRIDE                        │   │
│   │        Step trace · reversible actions · human override        │   │
│   └────────────────────────────────────────────────────────────────┘   │
│                                                                        │
└────────────────────────────────────────────────────────────────────────┘
                                    │
                                    ▼
┌────────────────────────────────────────────────────────────────────────┐
│           COMPLETED WORK  +  ESCALATION QUEUE  +  RUN LEDGER           │
└────────────────────────────────────────────────────────────────────────┘

FUNCTIONALITY

SCOPE DEFINITION

Domain and workflow mapping to define narrow execution scope and acceptance boundaries
One high-frequency workflow formalised first, rather than a broad automation surface

DECISION ARCHITECTURE

Confidence thresholds, escalation rules, and fallback actions defined before build
Ambiguous cases escalated with full context instead of resolved by guesswork

INTEGRATION & EXECUTION

Integration adapters into your stack for intake, execution, and system updates
Reversible actions and step-level traces so every run can be reconstructed

VALIDATION & OPERATIONS

Validation harness against production-representative scenarios before release
Operational controls, monitoring, and runbooks for ongoing ownership
Handover to your team so the agent is operable without us

HOW IT WORKS

We start by selecting one high-frequency workflow and formalising its decision boundaries. The agent is then built against that scope, connected to your existing systems, and validated with real production-like cases. After go-live, routine paths execute autonomously while ambiguous cases are escalated with full context, so your team stays in control.

STEP-BY-STEP GUIDE

Select one high-frequency workflow and map it from intake through completion.
Formalise the decision boundaries — what the agent may decide, and where it must stop.
Set confidence thresholds, escalation rules, and fallback actions before any build work starts.
Build the agent against that scope and connect the integration adapters into your stack.
Validate against production-representative scenarios until behaviour is stable on the standard path.
Go live with monitoring, runbooks, and human override, then transfer operations to your team.

OUTCOMES

Autonomous task execution tuned to your niche.
Reduced dependency on manual coordination for routine work.
Designed for production reliability with human escalation where it matters.
Every run auditable, reversible, and operable by your own team after handover.

NEXT STEP

Describe your process and receive a proposal with next steps within 24 hours.

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