Platforms

Kairo

An AI use-case discovery platform that helps leadership teams move from broad AI interest to prioritized opportunities, success metrics, data requirements, and governed build paths.

Where to start

A use case is not the deliverable. A working workflow is.

Kairo helps identify the AI opportunities that can pay back fastest, then shapes them into real workflows with the right data, controls, owners, and approval points.

  • Clarify the business process, not just the technology idea.
  • Score use cases by value, feasibility, risk, adoption effort, and data readiness.
  • Convert the highest-priority opportunity into a practical roadmap or prototype brief.
1Priority workflow selected for action
12Business functions reviewed for opportunity patterns
2 weeksTypical discovery sprint for first-pass prioritization

Data Foundations

Before AI can scale, teams need to know where the work and knowledge actually live

Kairo can start with a data and document foundations review when the biggest blocker is scattered files, duplicated versions, unclear ownership, or hard-to-find working knowledge.

  • Inventory the folders, drives, documents, templates, and operating knowledge that support a workflow.
  • Map what is current, duplicated, missing, sensitive, or ready for AI-assisted search and analysis.
  • Create the structure and governance needed before building copilots, assistants, or automation.

Opportunity patterns

Five outcomes that often earn their keep first

These are the kinds of opportunities Rushmore looks for early because they are concrete, measurable, and close to the work teams already do.

01

Morning intelligence

Summarize overnight changes in sales, pipeline, support, operations, risks, or market signals into a short decision briefing.

02

Communication at scale

Draft customer, compliance, investor, or internal updates from approved data and templates while keeping human review in place.

03

Document intelligence

Read contracts, filings, vendor agreements, claims, or reports and surface summary, risk language, exceptions, and review queues.

04

Customer voice synthesis

Cluster tickets, reviews, NPS comments, social feedback, and call notes into themes that can inform product or service priorities.

05

Decision-grade research

Prepare sourced research briefs before board meetings, partner discussions, product choices, or strategic investment decisions.

Discovery lens

Kairo maps opportunities across the functions you already run

The discovery process looks across business functions, then narrows quickly to the areas where AI can reduce cycle time, improve quality, or unlock better decisions.

Finance and accountingSales and marketingCustomer experienceOperations and supply chainData, BI, and researchLegal, risk, and complianceSoftware and IT engineeringSecurity and trustPeople and workforceContent and creativeTravel and hospitalityAutomation foundations

Engagement blueprint

Three phases from platform-led discovery to governed operation

Kairo can support a standalone discovery sprint or continue into prototype planning and operating-model design.

Phase 1 / 2 weeks

Discovery

  • Workflow mapping and pain-point review.
  • Data, tool, and permission inventory.
  • Use-case prioritization and success metrics.
Produces: prioritized roadmap and first-use-case brief.

Phase 2 / 6-8 weeks

Build

  • Prototype or workflow build around the selected use case.
  • Tool and data connections with appropriate access controls.
  • Reference materials, prompts, templates, and team training.
Produces: working system or pilot in business hands.

Phase 3 / Optional

Operate

  • Continuous improvement and adoption support.
  • Monthly capability expansion.
  • Governance, measurement, and workflow refinement.
Produces: sustained improvement, not delivered-and-done.

Guardrails

Clear boundaries make AI adoption safer

Kairo keeps discovery grounded in operating reality. The objective is to connect AI to the work, not create disconnected experiments.

We do not replace your existing systems.

Your CRM, ERP, support platform, ledger, and document tools stay where they are. AI becomes connective tissue, not a forced migration.

We do not automate judgment that should stay human.

The system can surface, summarize, draft, and recommend. Business decisions remain owned by the people accountable for them.

We do not start with generic automation.

Every recommendation is tied to a workflow, user group, data source, success measure, and operating owner.

Ways to engage

Start with the level of commitment the decision requires

Kairo can be used as a standalone discovery platform, or as the first step toward implementation with Rushmore advisory support.

Discovery Sprint

Best when the team needs clarity on where AI can create measurable value and which use case should move first.

Prototype and Handover

Best when the highest-priority use case is clear enough to build a working pilot and train the business owner.

Operate and Expand

Best when AI adoption is becoming a strategic program and the team needs ongoing senior support.

Automation Architecture

Best when a priority use case is selected and the team needs to choose the right assisted, shared, or automated build path.

Compare options

Related resources

Read more on AI use-case discovery and automation

These resources expand the practical decisions that usually follow a Kairo discovery sprint.

AI use-case discovery

How to choose the first workflow that should move.

Read insight

Data foundations before AI

Why scattered knowledge blocks automation.

Read insight

Automation architecture

How to move from AI pilot to governed workflow.

Read insight

FAQ

Kairo questions leaders often ask

These answers help teams understand when AI use-case discovery is the right starting point.

What is Kairo?

Kairo is Rushmore Advisors' AI use-case discovery platform. It helps leadership teams identify, score, and prioritize AI opportunities before investing in prototypes, automation, or transformation programs.

When should a company use Kairo?

Kairo is most useful when a team has many AI ideas but needs a practical way to compare business value, feasibility, data readiness, risk, adoption effort, and operating ownership.

What does a Kairo discovery sprint produce?

A Kairo discovery sprint should produce a prioritized AI roadmap, a first-use-case brief, success metrics, data requirements, risk boundaries, and a recommendation for the right build path.

Does Kairo replace existing business systems?

No. Kairo is designed to clarify workflows and AI opportunities around the systems a client already uses. CRM, ERP, BI, support, finance, and document systems remain the operating sources.

Ready to find the first AI use case that should move?

Share the process, team, or decision area you are considering. Rushmore will respond with a practical next step.