Rivington Solutions
Independent AI workflow practice

Fix the workflow before you add more AI.

Rivington helps growing companies repair one important workflow that is slow, manual, inconsistent, or failing to deliver value from AI and automation.

We identify where data, ownership, handoffs, technology, and human judgment are breaking down, then redesign the workflow and give leadership a practical implementation plan.

See the 3-week diagnostic

One workflow. Three weeks. $9,500 fixed fee.

AI is often added to a process that was never designed to scale.

The technology may work, while the workflow around it does not.

01Manual review is still required at every step.
02Information is scattered across systems and conversations.
03Handoffs regularly lose context.
04The same decision is made differently by different people.
05Exceptions continue to escalate to senior leaders.
06Leadership cannot connect AI activity to a measurable business result.

These are rarely isolated technology problems. They are signs that the workflow, ownership, and decision process need to be redesigned.

One workflow. A clear diagnosis. A practical redesign.

Rivington examines one consequential recurring workflow from beginning to end. The work shows where performance is being lost, what should change, which parts can be automated, and where human judgment should remain.

01

Diagnose

See how the work actually runs and quantify the friction.

02

Redesign

Clarify ownership, decisions, handoffs, human review, and appropriate automation.

03

Implement

Give the company a practical 90-day plan or lead the operating implementation.

The offer

AI Workflow Diagnostic

For leaders who need a clear answer before investing in more tools, automation, or headcount.

Scope$9,500 fixed fee
  • ✓Three weeks
  • ✓One recurring workflow
  • ✓Four to six stakeholder interviews
  • ✓Current-state and future-state workflow
  • ✓AI and automation recommendations
  • ✓90-day implementation roadmap
  • ✓Executive readout
  • ✓$9,500 fixed fee

Start with one workflow that matters.

The best starting point is a recurring workflow with visible business consequences, multiple participants, and enough volume or complexity that the current approach is becoming expensive.

Lead or case intake
Qualification and triage
Expert review and approval
Routing and prioritization
Customer onboarding
Customer support escalation
Cross-functional handoffs
Internal request management
Proposal or document review
AI-supported GTM workflows

What should be different afterward?

Before
  • ×Manual review is the default.
  • ×Ownership changes by situation.
  • ×Work waits in Slack, email, or spreadsheets.
  • ×Exceptions are handled informally.
  • ×Senior people repeatedly intervene.
  • ×AI has added activity without improving the result.
After
  • ✓Required information enters consistently.
  • ✓Routine decisions follow explicit criteria.
  • ✓Work routes to a clear owner.
  • ✓Exceptions have a defined review path.
  • ✓Human judgment is used where it adds value.
  • ✓Performance can be measured against a baseline.

The objective is not a better diagram. It is a workflow the company can operate, measure, and improve.

Relevant operating proof

Work completed in a prior operating role, before Rivington

Redesigning a high-volume expert review workflow

A high-volume services business depended on expert review to assess thousands of complex submissions. The original process required substantial manual interpretation and created a recurring capacity constraint.

✓Approximately 80% reduction in expert assessment time
✓More than 50 hours of manual work removed each week
✓Supported more than 5,000 monthly inbound submissions
✓Preserved expert review for cases where judgment mattered

The workflow was redesigned around structured intake, explicit qualification logic, consistent routing, concise expert summaries, and human review at the appropriate decision points.

When this is the right starting point

Good fit

  • ✓One recurring workflow is visibly underperforming.
  • ✓The problem has a meaningful cost, capacity, customer, or quality consequence.
  • ✓Several roles or systems participate in the process.
  • ✓AI or automation is already involved or is being considered.
  • ✓A senior leader is willing to sponsor the work.
  • ✓The company can provide access to relevant people and information.
Revenue-generating B2B software, technology-enabled services, and expert-services companies past the earliest product-market-fit stage. Typically 25 to 250 employees.

Not a fit

  • ×You need a single automation built without examining the process.
  • ×You want general AI training.
  • ×You want a company-wide AI strategy presentation.
  • ×You are looking for outsourced software engineering only.
  • ×The workflow has no clear business consequence.
  • ×Leadership is not willing to inspect how the work actually happens.
Not sure? The free Workflow Friction Check is a three-minute first step.

Led by an operator, not a software vendor.

Rivington is led by Ross McLaughlin, an operator whose work has focused on turning fragmented, judgment-heavy processes into clearer and more scalable systems.

Ross works across operating strategy, workflow design, AI and automation, decision ownership, implementation, and adoption. His role is to identify the actual business constraint, translate it into a workable operating design, and help the organization put that design into practice.

Rivington does not sell a preferred platform or recommend automation where the workflow is not ready for it.

Bring one workflow that is not working as it should.

In a 20-minute fit call, we will determine whether the problem is specific enough, consequential enough, and accessible enough for the diagnostic.

Take the free workflow check