Every day a prior authorization sits in a queue is a day a patient waits for treatment.That is the problem worth solving.
Your AI product portfolio — health scores, sentiment analysis, playbooks — is running in production. But the accountability gap that Gainsight advises hundreds of enterprise customers to close may exist inside your own AI programs. Agents in production without a standing operator function means KPI drift, team rolloff, and programs that plateau six months post-launch.
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About Teqfocus
The partner that owns the data layer and the application layer — and operates what it deploys
Most data platform engagements deliver a pipeline. Teqfocus delivers agents that run on it — and keeps them performing through AgentOps managed services.
Market Positioning
Global Presence
Three operational gaps with direct patient impact
Prior Authorization: 3–5 Day Bottleneck
Treatment approval delays averaging three to five days are not administrative inconvenience — they are gaps between diagnosis and intervention at one of the world's leading cancer centers. The clinical criteria exist. The matching to payer rules is manual, and that is the only reason the queue exists.
Care Coordination Across Specialties
MD Anderson's multi-disciplinary oncology model is the clinical differentiation. The coordination layer — tracking handoffs across surgical oncology, radiation, medical oncology, and support services — still runs on email threads and manual follow-up. Every missed handoff is a care gap.
Clinical Trial Matching: Patients Not Identified in Time
Patients who qualify for trials but aren't identified at the right moment in the care journey represent both a patient outcome gap and a research throughput problem. The eligibility data exists in Health Cloud. The matching is still manual and episodic rather than automated at the care plan stage.
Three places where Agentforce changes the operational model
Prior authorization automation — removing the queue, not the physician judgment
The goal is not to replace clinical decision-making. It's to eliminate the administrative queue that sits in front of it.
Agentforce reads the clinical criteria documented in Health Cloud, matches it against payer authorization rules, and routes the request directly when criteria are met. The only cases that reach a physician's desk are the genuine exceptions — the ones that actually require human review.
The 80% of prior auths that are routine approvals move without touching anyone's inbox. That is where the 3–5 day delay lives, and that is what disappears.
Care coordination across specialties — closing the loop on every handoff
Your clinical strength is the multi-disciplinary model. A complex oncology case touches surgical, radiation, medical oncology, palliative care, and support services — sometimes simultaneously.
The gap isn't the clinical expertise. It's the operational layer tracking whether every handoff actually happened. Agentforce creates a closed-loop task layer on top of Health Cloud:
- Every handoff generates a tracked task
- Every completion triggers the next step
- Every overdue action surfaces automatically to the care coordinator
Clinical trial matching at scale — eligibility surfaced at the care plan stage
Patients who should be enrolled in a trial but aren't identified in time represent a compounding loss: a missed treatment option, a recruitment gap for the research program, and a care pathway that left options on the table.
Health Cloud holds the clinical profile. Agentforce runs eligibility logic against the active trial portfolio at the moment the care plan is built — not weeks later when someone manually reviews a chart.
Patients who qualify see the option when it's actionable. That's a structural change to how trial enrollment works at scale — not a workflow improvement at the margins.
The same stack, already running in a HIPAA-compliant health system
Agentforce on Health Cloud for Virtual Nursing — Prior Auth Volume Reduced, Clinical Staff Redirected to Patient-Facing Work
A major health system deployed Agentforce on Health Cloud to automate the administrative layer supporting virtual nursing — same stack, same HIPAA-compliant architecture, same integration patterns.
Prior authorization volume processed automatically increased significantly. Clinical staff capacity absorbed by admin tasks was redirected to direct patient-facing work.
HIPAA compliance was the baseline design constraint, not a retrofit. The configuration was built on standard Health Cloud data models and Agentforce automation flows — not custom code that becomes technical debt.
Technology Partners
Teqfocus brings Salesforce Summit, Snowflake Premier, AWS Advanced, and Databricks credentials — the right tool for the right layer, without single-vendor lock-in.
- Summit Consulting Partner
- 200+ Certified Experts
- Sales Cloud, Agentforce, Data Cloud
- Agentforce deployments for Hi-Tech enterprises
- Premier Services Partner
- 20+ SnowPro Certified
- 50+ customers
- Cortex Agents architecture, dbt governance, and data fabric design
- Certified Consulting Partnert
- 20+ AI & data workloads
- MLOps pipelines
- AI governance frameworks and model monitoring
- Advanced Consulting Partner
- Data & Analytics Competency
- 150+ active engagements
- Cloud architecture for enterprise data platforms
Worth a 30-minute conversation?
If prior authorization delays, care coordination gaps, or clinical trial matching are on your agenda — the 30 minutes is worth it. A direct conversation about the operational problem and what solving it actually looks like at MD Anderson's scale.
