PAWS

Automate the flow—not the accountability.

Measure, redesign and orchestrate repeatable work while retaining proportionate human judgement.

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Illustration of a controlled AI workflow moving through defined stages
PAWS · service illustration

Automation is designed around inputs, exceptions, approvals and the evidence needed to trust the result.

Who this helps

Built around a buying situation.

  • Operational excellence leaders
  • Service and project delivery teams
  • SMEs facing administrative overload

Useful when

The trigger is already visible.

  • The same information is re-keyed across systems
  • Response times depend on manual triage
  • Automation ideas lack a measurable business case

The position

Fix the flow before adding agents.

Automation magnifies the design it inherits. Pegasus first identifies demand, variation, failure demand and decision points, then distinguishes deterministic rules from work that genuinely benefits from AI assistance.

01

A defined scope and accountable decision owners

02

Controls matched to the real operating context

03

Evidence that can be reviewed, tested and improved

Scope

What the work includes.

Every engagement is scoped around authority, operating context, available evidence and the decision that must be made.

01

Process and volume analysis

Baseline volumes, handling time, queues, rework, exceptions and service commitments.

02

Agent and integration design

Define the target flow, agent roles, integrations, fallbacks and human decision points.

03

Pilot, measure and refine

Run a bounded pilot with success measures, test cases, exception review and a go, revise or stop decision.

Method

A controlled route from exposure to evidence.

Decision points, responsibilities and verification stay visible from the start.

01

Discover

Define the exposure, context, evidence, owners and decision that matters.

02

Design

Select proportionate controls and make responsibilities and hold points visible.

03

Implement

Embed the agreed system into the real operating workflow.

04

Verify

Test whether controls work and whether the evidence supports the conclusion.

05

Improve

Close actions, learn from exceptions and strengthen the system over time.

Outputs

Evidence designed for use.

Scope and evidence map

Prioritised findings and action ownership

Practical control or implementation pack

Verification record and next-step roadmap

Questions answered

Before you scope the work.

Which workflow should be automated first?

Usually one with repeatable inputs, observable outcomes, manageable data sensitivity and enough volume to justify change. High-consequence decisions are rarely the right first pilot.

How is value measured?

Measures are agreed before the pilot and may include cycle time, handling time, error or rework rate, exception rate, service performance and controlled capacity released.

Start the conversation

Bring the exposure. Leave with a controlled route forward.

A first conversation is used to understand context, authority and the decision required—not to force a predetermined package.

Request a scoping call