Administrative Burden
Prior authorization, utilization management, care management, and provider operations create manual work that slows care and consumes operating capacity.
Healthcare transformation recovery
You have the data. You still do not know where work is stuck.
TKO helps healthcare and complex-operations leaders diagnose stalled workflows, make the constraint visible, and decide whether a focused recovery, deeper diagnostic, or build is warranted.
Fixed-scope recovery assessment · one week · $5K–$8K
Find the hidden work
See the handoffs, exceptions, and risks that reports miss.
Name the constraint
Identify where work, ownership, and decisions actually stall.
Ship the smallest fix
Build a decision system only when the evidence calls for one.
The Operating Problem
Work crosses systems. The decision does not.
Teams are busy, dashboards are current, and governance meetings are happening. The real problem is the work between handoffs, exceptions, and disputed facts—where leadership cannot see the constraint clearly enough to act.
- Operational bottlenecks
- Decision latency
- Human API dependency
- Workflow recovery
- Systems of action
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.
Anonymized enterprise proof
Prior Authorization Workflow Modernization
Administrative review burden persisted because workflow, decision rights, compliance, and human review tiers were not redesigned together.
Evidence scope — Healthcare operating experience across prior authorization, utilization management, compliance logic, and payer/provider workflow complexity.
View selected workAnonymized enterprise proof
Enterprise Program Recovery
A large modernization program risked execution failure because dependency complexity and executive visibility gaps were not fully exposed.
Evidence scope — Program scope included claims, care management, eligibility, provider operations, and clinical workflow dependencies.
View selected workBuilt Proof
RachelOS proves the operating pattern in a live environment.
It is a founder-built system in daily use: relationship memory, source-aware facts, priority surfacing, action queues, intelligence gaps, and human approval before AI-assisted action.
Problem
A relationship-driven business had 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 preserves relationship knowledge, surfaces priority, produces a trusted action queue, and keeps AI-assisted recommendations behind human approval.
Direct proof — Durable memory, a canonical queue, and a human approval gate are visible in the built system.
Review the RachelOS evidence
Healthcare Background
The operating failure repeats across high-stakes work.
Healthcare transformation experience supplies the operating context: prior authorization, utilization management, care management, interoperability, regulatory programs, and multi-team governance all expose the same hidden-work and decision-latency pattern.
Advisory background
Healthcare Transformation
Prior authorization redesign, care-management modernization, and interoperability work show why the same operating pattern matters where administrative burden, exception handling, auditability, and multi-team dependencies are real constraints.
Operating lesson — Identify the dependency, make the decision path explicit, and build only after the operating truth is visible.
Review the proof registryMethodology
Start with operating truth, not a platform.
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.
Engagement Path
Start with recovery. Build only when the workflow truth is visible.
The one-week Operational Recovery Assessment is the fixed-scope first step. It identifies the operating constraint, the decision leadership needs to make, and whether a deeper diagnostic or build is justified.
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
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
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
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
Operational Recovery Assessment
If execution depends on hidden work, start with the recovery assessment.
In one fixed-scope week, TKO maps the workflow, identifies the decision-latency pattern, assesses dependency risk, and gives leadership the next highest-leverage move.