Fix the workflow before you add more AI.
Rivington helps growing companies find and fix the business processes that are consuming too much time, manual effort, or senior attention.
We examine how the work actually happens, redesign it around clearer information, decisions and ownership, and use AI and automation where they can genuinely improve the result.
Less manual work. Faster decisions. More capacity. Better returns from AI.
One workflow. Three weeks. $9,500 fixed fee.
Trusted by industry-leading partners
Why Rivington exists
Most companies don't have an AI problem. They have a work problem.
Important work inside a company tends to become more complicated over time.
Information gets spread across systems. People create manual workarounds. Experienced employees become the people everyone relies on to resolve exceptions. Decisions that should be straightforward start requiring meetings, Slack messages, email chains, and repeated review.
Adding AI can help, but it can also automate the mess.
Rivington starts by understanding how the work should operate. Then we determine what should be handled by software, what can be automated, where AI can help, and where human judgment still matters.
How Rivington works
- 01
Find where the work is breaking
Follow one consequential process from beginning to end.
Identify where people are waiting, repeating work, reconstructing information, making inconsistent decisions, or escalating unnecessarily.
- 02
Redesign how the work should operate
Clarify information, ownership, decisions, handoffs, exceptions, and human review.
Decide which work should disappear, which should be automated, and which deserves human judgment.
- 03
Put the new system into practice
Create the implementation plan, define what success looks like, and determine how the redesigned workflow should be implemented with the existing team, software, automation, and AI.
What should change after working with Rivington?
Your people spend less time assembling information.
The information needed to do the work arrives in the right place and in a usable form.
Routine work stops consuming expert attention.
Common cases follow a defined path while genuinely difficult cases reach the right person.
Decisions happen faster and more consistently.
Ownership, criteria, and escalation paths become explicit rather than living in people's heads.
You create capacity without automatically adding headcount.
Time currently lost to coordination, rework, and manual processing can be redirected toward higher-value work.
AI investment becomes easier to justify.
Instead of asking “Where should we use AI?”, you know which parts of the workflow could benefit from it and what business result the technology is supposed to improve.
AI Workflow Diagnostic
Start with one workflow.
Choose one important workflow that feels slower, more manual, or more complicated than it should be.
Over three weeks, Rivington will map how it works today, identify where time and capacity are being lost, redesign how it should operate, and give you a practical implementation path.
- Scope
- One workflow
- Duration
- Three weeks
- Fee
- $9,500 fixed fee
What you receive
- 01Current-state workflow
- 02Future-state redesign
- 03AI and automation recommendations
- 04Human-in-the-loop decision design
- 0590-day implementation roadmap
- 06Executive readout
The $9,500 diagnostic does not include implementation or ongoing support. Additional workflows, travel, unusual data analysis, or specialist technical work are scoped separately.
Workflow examples
Expensive, messy workflows, and how better design changes the economics of the work.
The point is not what AI can do. It is where time, rework and senior attention are being spent, and what changes when the work is redesigned. These illustrative workflow designs are not client work or measured results.
- Underwriting teams spending time assembling context before making a decision.
- GTM teams manually moving information between systems.
- Customer operations teams escalating routine exceptions.
- Onboarding processes with repeated handoffs.
- Senior employees acting as the unofficial decision engine for routine work.
Commercial Insurance
Commercial Underwriting
How AI can increase underwriting capacity without removing underwriting judgment.
Insurance Operations
Claims Intake & Triage
How AI can get every claim to the right adjuster faster without letting a machine decide the outcome.
See a sample of the work
Explore an illustrative diagnostic output for a fictional customer-onboarding workflow. It is not a client engagement or a measured Rivington result.
View the sample diagnosticAfter the diagnostic
Your team can implement the plan, use it to brief an existing provider, or scope a separate implementation engagement with Rivington. The $9,500 diagnostic does not include implementation or ongoing support. Implementation is scoped separately based on systems, stakeholders, and technical requirements.
Rivington can work alongside an internal operations, automation or technical team. Deeper software engineering, security and data architecture may require the client’s technical team or specialist partners.
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.
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.
The thinking behind the work.
Rivington’s essays and teardowns go further into decision architecture, decision debt, governance and the role of AI in well-designed workflow systems.
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.