TKOSolutionsAssessment

Operational Knowledge Systems

Operational Knowledge Systems for Complex Workflows

We help organizations identify where critical knowledge, decisions, and workflow context live inside people instead of systems and build the operational layer that turns that knowledge into trusted action.

  • Prior authorization
  • Transformation recovery
  • Human-in-the-loop AI

Map The Workflow

See where healthcare work actually stalls.

Expose Dependency

Find where the human API carries the operation.

Modernize Safely

Keep AI governed and human-approved.

Primary Market

Healthcare Workflow Modernization

Healthcare is the primary market wedge because the work is complex, regulated, cross-functional, and full of human API dependency.

  • Prior Authorization
  • Utilization Management
  • Administrative Burden
  • AI Adoption
  • Transformation Recovery
Start with the Prior Authorization assessment

Administrative Burden

Prior authorization, utilization management, care management, and provider operations create manual work that slows care and consumes operating capacity.

Transformation Recovery

Modernization programs can report progress while dependency risk, decision latency, and adoption gaps accumulate between teams.

Human API Dependence

Critical knowledge lives in a few key people. When they are overloaded, unavailable, or leave, execution slows down.

Operational Visibility Gaps

Reports show activity and status, but they do not show where work is stuck, who owns the next decision, or which risk needs attention.

Workflow Friction

Teams spend time reconciling status, chasing handoffs, and managing work instead of advancing work.

AI Without Operational Control

AI can summarize or draft, but it does not become trusted healthcare execution unless human approval, workflow fit, and decision rights are designed in.

Proof Ladder / 1

Healthcare Transformation Experience

TKO's healthcare credibility sits in prior authorization, utilization management, care management, interoperability, regulatory programs, multi-team governance, and transformation recovery.

Anonymized enterprise proof

Prior Authorization Workflow Modernization

Administrative review burden persisted because workflow, decision rights, compliance, and human review tiers were not redesigned together.

View selected work

Anonymized enterprise proof

Enterprise Program Recovery

A large modernization program risked execution failure because dependency complexity and executive visibility gaps were not fully exposed.

View selected work

Anonymized enterprise proof

Healthcare Interoperability Modernization

CMS interoperability requirements were being treated as a technical compliance project instead of an operating model change.

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Proof Ladder / 2

RachelOS proves TKO can build the operating layer.

RachelOS is evidence that TKO has built the layer between scattered signals and action: operational memory, source-aware facts, priority surfacing, action queues, intelligence gaps, and human-approved AI support.

Problem

A business had 100+ relationships, fragmented information, inconsistent follow-up, knowledge trapped in one person's head, and no trusted next action.

System

TKO built a governed operating layer that captures relationship knowledge, preserves institutional memory, surfaces priorities, recommends actions, and supports execution with human-approved AI.

See how RachelOS works

Proof Ladder / 3

The operating-knowledge pattern travels beyond healthcare.

CRE Intelligence demonstrates method portability: market observations, entity facts, analyst judgment, risks, opportunities, recommendations, and reports can become reusable decision assets instead of staying trapped in one analyst.

Method portability

CRE Intelligence Model

This is supporting proof, not a separate service line. It shows the same human API pattern in a different domain: expert judgment becomes structured facts, state, recommendations, comparisons, and reusable decision assets.

View CRE proof

Proof Ladder / 4

Operating System Methodology

Existing tools already capture signals. An Operational Knowledge System preserves memory, resolves facts, shows current state, identifies priority, recommends next action, routes human approval, and records outcomes.

01

Signals

Activity from email, calls, tickets, CRMs, reports, meetings, and conversations enters the decision layer.

02

Memory

Operational knowledge persists across time and source instead of disappearing into individual people or one-off meetings.

03

Facts

Signals resolve into source-aware, governed facts that teams can trust.

04

State

Facts roll up into a current view of the workflow, relationship, customer, case, or account.

05

Priority

The system identifies what matters, who needs attention, and where escalation may be required.

06

Human Approval

A person reviews and authorizes important recommendations before action is taken.

07

Action

The team works from trusted next actions and measures whether the decision improved execution.

AI is useful only when it is tied to workflow, decision rights, and human approval. It supports the system; it is not the category.

Services

Start with recovery. Build only when the workflow truth is visible.

The Operational Recovery Assessment is the low-friction entry point. The Operational Truth Diagnostic goes deeper when the workflow needs more evidence. Build and advisory work follow only when the operating problem is clear.

Low-friction entry point

Operational Recovery Assessment

A one-week assessment for healthcare and operations leaders who need fast clarity on where a workflow is stuck and what recovery step comes first.

Investment
$5K-$8K
Timeline
1 week
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Primary entry point

Operational Truth Diagnostic

A fixed-scope diagnostic for healthcare and enterprise leaders who need the operating truth behind stalled work before committing to a larger fix.

Investment
$15K-$30K
Timeline
2-3 weeks
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Downstream conversion offer

Decision Layer Build Sprint

Design and implementation support for the operating layer that turns workflow signals into governed next action.

Investment
$45K-$150K
Timeline
6-12 weeks
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Post-diagnostic or post-build retainer

Fractional Operational Intelligence Advisor

Strategic advisory support for leadership teams that need to continuously improve execution.

Investment
$12K-$25K / month
Timeline
3-6 months
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Operational Recovery Assessment

If critical work depends on human APIs, start with the recovery assessment.

In one fixed-scope week, TKO maps the workflow, identifies bottlenecks and dependency risk, assesses AI readiness, and gives leadership the next highest-leverage move.