Shared direction
Connect AI investment to business priorities
AI Operating Model Design
Design the work around people and AI together.
Adding an AI agent to a broken workflow rarely fixes it. We redesign the roles, decisions, handoffs, controls and systems around the outcome the function must deliver.
Better operating model
Redesign roles, workflows and decisions
Governed adoption
Build control into everyday use
Execution path
Move from roadmap to implemented change
What this solves
What you get, in plain language.
Start with the business problem. We define and deliver the product, workflow or transformation needed to solve it.
At a glance
Best for: Teams where AI pilots create new work, unclear ownership or repeated handoffs instead of improving the whole system.
You leave with: A future-state workflow and AI-enabled operating model that defines who does what, where judgement remains human and how performance is managed.
Core principle: Automate tasks where useful, redesign the system where necessary.
What gets redesigned
- Customer and employee journeys
- Work intake, triage and routing
- Decisions, approvals and exception handling
- Human and AI responsibilities
- Data access and system handoffs
- Controls, escalation and auditability
- Roles, skills, capacity and performance measures
What this changes for you
- Less fragmented work and fewer avoidable handoffs
- Clear human ownership around AI-generated actions
- Better use of specialist judgement and employee time
- Workflows designed for exceptions, not just happy paths
- Stronger adoption because roles and incentives are explicit
- A build-ready blueprint for automation and product teams
What you receive
- Current-state workflow and friction map
- Task, decision and exception analysis
- AI suitability and automation assessment
- Future-state service or process blueprint
- Role, responsibility and decision-rights model
- Human-in-the-loop and escalation design
- Data, integration and control requirements
- Adoption implications and capability plan
- Measurement framework
- Prioritised implementation backlog
Process
- Observe the real work: Examine how tasks and decisions move, including workarounds and exceptions.
- Separate value from friction: Identify where human judgement adds value and where delay or repetition does not.
- Design collaboration: Allocate tasks across people, AI agents, automation and existing systems.
- Define control: Set thresholds, approvals, escalation routes and accountability.
- Prototype the flow: Test the future state with users before full implementation.
- Hand into delivery: Translate the operating model into products, automations, integrations and change actions.
How we work
Small-team speed. Enterprise-level discipline.
You always know what is being decided, built and measured.
Diagnose
Map value, friction, data and decision rights.
Design
Create the target workflow and operating model.
Implement
Put priority systems and controls into use.
Adopt
Enable teams, monitor outcomes and improve.
Built for reality
Connected. Governed. Ready to operate.
Strategy only matters when it survives systems, governance and adoption.
SystemsCRM · ERP · data · APIs
ControlsAccess · review · audit
PeopleRoles · handoffs · adoption
Relevant exampleClient engagementRead the case study ↗
Move good loan applications forward faster.
A lending intelligence layer designed to connect lead quality, document readiness, lender fit and disbursement economics in one operating view.
57.8%onboarding completion
36.8%approval rate
FAQ
Questions about Operating Model and Workflow Redesign
Straight answers before you decide what to do next.
What is an AI-enabled operating model?
It defines how a function creates value when people, AI agents, automation, data and applications work together. It covers workflows, roles, decision rights, controls, capabilities and performance measures.
Is workflow redesign the same as workflow automation?
No. Automation executes parts of a workflow. Redesign can change the workflow itself, remove unnecessary steps, reassign decisions and create a different service or operating model.
How do you decide what should remain human?
We consider judgement, consequence, ambiguity, empathy, accountability, regulatory needs and the reliability of available data. Human oversight is designed around risk and value, not added as an afterthought.
Can you implement the redesigned workflows?
Yes. The blueprint can move into AI workflow automation, agent development, product design, systems integration and adoption support.
How do you avoid making employees feel replaced?
The process involves the people who understand the work, makes role changes explicit and focuses on removing friction while preserving valuable judgement. Adoption requires honest operating choices, not cosmetic communication.
How long does a typical engagement take?
A focused diagnostic or prototype can take a few weeks. A production build or wider transformation is phased around complexity, integrations, risk and the evidence required at each gate.
What determines the cost?
Scope, workflow complexity, data readiness, integrations, security requirements and the level of production support determine investment. We define the smallest credible first phase before proposing a wider programme.
Can this work with our existing systems?
Usually, yes. We design around your current CRM, ERP, data, communication and operational tools, then recommend replacement only when an existing constraint genuinely blocks the outcome.
How do you handle security and human oversight?
We define access, approval, escalation, audit and monitoring requirements with the workflow. High-impact decisions retain the right human checkpoints and visible accountability.
Have a problem worth fixing?
Tell us what needs to change.
We will help you find the clearest route from business need to working system.
Talk to our team