Contact Center and Intake AI Agents

Put AI agents to work on intake that never stops moving.

Stravida designs managed AI agents for lead qualification, routing, documentation, scheduling support, missed-call recovery, and follow-through, with human oversight and performance tied to verified work completed.

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Managed AI workforceQualify, route, document, schedule, and follow through

500K+Labor hours automated

5.7xAverage ROI

94%Client expansion rate

<30 daysTypical deployment path

Why intake breaks first

01 Intake teams need clean handoffs, not another queue.

Most patient access problems are not caused by one bad call. They come from repeated small misses across routing, documentation, scheduling, referral follow-up, and manager visibility.

Problems we look for first

Calls, referrals, and web inquiries are routed inconsistently across teams and locations.
Schedulers spend too much time collecting the same information, checking eligibility, and documenting next steps.
Missed calls and form fills do not always receive timely follow-up.
Managers know conversion is leaking, but they cannot see where handoffs are failing quickly enough.
Contact center technology creates reports, yet the repetitive follow-through still depends on overloaded staff.

Healthcare intake operations team reviewing patient access workflow handoffs

Intake workflow overview

See which handoffs slow access down.

The first step is finding the repeatable contact center work that has enough volume, rules, and business value for agent execution.

Before another automation pilot

Find the intake workflow where faster response and cleaner handoffs can create measurable value.

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How it works

02 Start with the intake workflow where response time and handoff quality matter most.

The first build focuses on one measurable access workflow with clear rules, defined escalation, and a direct line to appointment conversion or referral follow-up.

Define the intake job

We choose the exact intake work that repeats often, such as qualifying, routing, documenting, scheduling support, or follow-up.

Map channels and handoffs

We document how calls, forms, referrals, chat, CRM tasks, calendar rules, and location routing fit together today.

Configure the agent workflow

Agents are designed around exact actions such as collecting context, routing requests, creating notes, and preparing the next step.

Add oversight and escalation

Complex clinical, insurance, or scheduling exceptions route to the right person with context, evidence, and audit history.

Measure completed work

Performance is tied to calls recovered, leads routed, tasks completed, response time improved, and appointments moved forward.

Expand into adjacent paths

Once one access workflow proves value, the same operating model can expand across referrals, reactivation, or location-specific scheduling paths.

Managed AI workforce

A governed intake workflow that improves speed without losing control.

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What we evaluate

03 Accountable intake AI depends on routing rules, response discipline, and clean documentation.

The workflow has to match the real operating model. The agent needs to know what to complete, what to prepare, what to route, and when a human owns the decision.

Evaluation areas

Call, referral, web lead, chat, and missed-call workflows
Qualification fields, routing rules, location logic, scheduling paths, and escalation criteria
CRM, call platform, calendar, referral, EHR, and task-system handoffs
Current response time, abandon rate, callback volume, completion rate, and appointment conversion metrics
Human approval points for clinical questions, insurance complexity, location capacity, and patient access exceptions
Outcome measures tied to work completed instead of generic automation activity

What you get

An intake workflow map showing where repetitive work can be handled safely
A list of tasks agents can qualify, route, document, prepare, or escalate
A human-oversight plan for clinical, insurance, and scheduling exceptions
A measurement plan for response time, follow-up completion, handoff quality, and appointment movement
A rollout sequence for the first contact center workflow and the next expansion path
A plain-English operating model leadership can review before implementation begins

Outcome-backed implementation

Build AI around access operations, not around a generic chatbot.

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What gets built

04 A governed intake workflow that improves speed without losing control.

The workflow is built around the work that drives patient access: qualify, route, document, schedule, follow through, and escalate when a person needs to step in.

Healthcare intake routing screen with AI workflow overlays

Routing and qualification

Move the right request to the right path.

Agents can collect context, classify the request, prepare notes, and route the next step with consistent rules.

Patient access specialist reviewing referral and web lead follow-up

Missed-call recovery

Recover the work that usually disappears.

The workflow can focus on missed calls, web forms, and referral follow-up where speed and consistency change conversion.

Healthcare scheduling team reviewing patient access conversion workflow

Scheduling support

Prepare clean handoffs for human schedulers.

Agents can prepare context, flag exceptions, and make the next action visible before the staff member takes over.

Healthcare contact center manager reviewing quality assurance workflow

QA and coaching

Show managers where the workflow breaks.

Completed work, escalations, and exceptions give leaders a practical view of quality instead of another static dashboard.

Ready when the workflow is ready

Find the intake workflow where faster response and cleaner handoffs can create measurable value.

Book Your Strategy Call

Healthcare operating experience

05 Build AI around access operations, not around a generic chatbot.

Stravida brings healthcare growth and patient access discipline to AI workflow design. The goal is repeatable work your team can govern, measure, and improve.

Dave NelsonChief Development Officer, Advanced UrologyLinkedIn profile

★★★★★

George is an experienced marketing professional who can uniquely blend broad medical practice marketing initiatives smoothly with operations and sales in a high growth environment. His experience with developing high tech call centers generated significant new patient volume and retention.

Hunter MeffordCo-Chief Operating Officer, Advanced Recovery SystemsLinkedIn profile

★★★★★

Before partnering with George, our practice was stuck at around $40M in annual revenue. In just two years, he helped us scale past $120M by completely transforming our patient acquisition strategy.

Gregory PlakiasChief Marketing Officer, Arista RecoveryLinkedIn profile

★★★★★

George's expertise and dedication have made a significant impact on our ability to reach those who need addiction treatment services. His strategic approach to our digital presence was both professional and compassionate.

Build the first workflow

Find the intake workflow where faster response and cleaner handoffs can create measurable value.

Book Your Strategy Call

FAQ

Contact center and intake AI questions

These answers explain where Stravida looks for intake workflows, how oversight works, and how performance-backed implementation is measured.

What can contact center AI agents do?

They can support defined tasks such as lead qualification, request routing, note preparation, missed-call recovery, referral follow-up, scheduling support, and exception escalation. The exact scope depends on systems, risk level, and approval rules.

Does this replace the contact center team?

No. The goal is to remove repetitive manual work, improve speed, and give staff more time for complex patient conversations, insurance questions, and scheduling judgment.

How is this different from a chatbot?

A chatbot handles conversation. An accountable agent workflow is designed around defined work, system handoffs, manager visibility, and measurable completion.

How do you protect patient access quality?

Each workflow has escalation rules, human review points, audit history, and limits on what the agent can complete without staff involvement.

Where does a healthcare organization start?

Start with one workflow that has volume, clear rules, visible delay, and measurable value. Missed-call recovery, referral follow-up, and web lead routing are common starting points.

How fast can a first workflow go live?

A typical path can begin in under 30 days when the workflow is clear, systems access is available, and leadership agrees on risk boundaries and outcome measures.