Designing a PI Intake Conversion System: An Implementation Case Study

How we structure the implementation.

Our intake implementation connects the operating problem, workflow architecture, team responsibilities and measurement plan. We define the next action for each stage, with an owner and a controlled path for exceptions.

The work produces a workflow map, configured rules within the agreed system scope, staff guidance, acceptance tests and a management scorecard. The firm’s approved communication and case-review requirements guide the implementation.

The design problem: one timeline cannot represent every inquiry.

The brief addresses what happens when follow-up is organized only by elapsed time. A prospect who requested a callback has different needs from someone who has never been reached. A qualified person with an unanswered retainer question needs a different next action from a person still providing initial information.

The central design decision is to let a change in the person's situation change the workflow. Automation should support the next useful conversation and stop work that is no longer appropriate. We test state changes and handoffs before expanding the workflow.

Place this design within our Lead-to-Signed Case framework.

The intake state model.

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Separate suppression and exception controls cover opt-outs, duplicates, unsuitable inquiries, failed deliveries, and manual holds. They are not additional sales stages.

A callback is a commitment, not another message.

When a person responds to an inquiry follow-up and asks for a call tomorrow afternoon. The workflow records the requested window, pauses the generic sequence, creates a callback task, attaches the conversation history, and assigns an owner.

If the owner cannot accept the task, it goes to a defined backup queue. If the call is not completed, the exception remains visible. If the person later changes the time or withdraws permission, the old task and scheduled outreach must be reconsidered before execution. The acceptance test checks the full chain, not just whether a task appeared in the CRM.

What the automation is intended to do, and who decides.

Proposed automation supports approved sequencing, task creation, record updates, routing, and reporting. An AI assistant could organize information or recognize a request within a tightly scoped workflow. The design does not require an AI model to control every step.

Intake staff own conversations and follow-through. Authorized legal personnel handle legal advice, conflicts, acceptance decisions, and representation questions. The firm approves communication rules and the use of information. A technology owner monitors integrations, access, retries, and failures; an operational owner handles exceptions.

The system needs shared identity and state across participating channels so an email reply or staff action can prevent an obsolete text or call task. Whether that can be implemented depends on the actual systems, event access, permissions, and integration behavior.

Evaluate the requirements for managed AI and automation implementation.

The pilot should earn permission to expand.

Leadership should agree on acceptable error, workload, and response thresholds before launch. Stop or narrow the pilot when serious failures occur. A calendar deadline alone is not evidence that the system is ready to expand.

• Identity test: repeated delivery of the same source event does not create duplicate inquiries, messages, or tasks.
• State-change test: contact, callback, signature, stop request, and manual hold invalidate incompatible queued actions.
• Handoff test: a person receives the context, accepts responsibility, and can take over without continuing automated outreach.
• Failure test: an unavailable integration, rejected message, or expired connection produces an observable exception and safe recovery path.
• Data test: required stage events and timestamps reconcile with a reviewed set of source records; unknowns stay visible.
• Ownership test: staff know who monitors the queue, approves knowledge changes, handles escalations, and can pause the pilot.

How we measure the implementation.

The measurement plan starts with a defined acquisition cohort and comparable pre-pilot records where available. It tracks source, stage timestamps, meaningful contact, intake completion, qualification, retainer status, signature, exceptions, and staff involvement. Missing history and changes in case-fit criteria must be disclosed.

We set a 30-day implementation check, a 60-day directional review and a 90-day results checkpoint as management review windows, adjusted to the agreed scope. Extend the observation period when signing delays or small populations make the comparison uninformative.

A future results update should show the dates, sample size, inclusion rules, denominators, open records, costs, and simultaneous operating changes. It should distinguish additional signatures from wanted signed cases, and distinguish those from collected fees and profit. Without a credible comparison design, report an observed change without attributing causation to the automation.

Connect operational records through law-firm marketing attribution.

Where this approach can fail.

A correct sequence cannot resolve unclear case criteria, inadequate coverage, or an attorney queue with no available reviewer. A person may prefer another firm, decide not to proceed, or have an inquiry outside the practice's scope. The system must allow those outcomes without manufacturing activity to improve a dashboard.

More complete data can initially make performance look worse by exposing old gaps. The operating objective is a truthful record and a better next decision. The design will only be useful if people can maintain it and prospective clients experience coherent, appropriate communication.

Apply the design to one problem in your firm.

Choose one queue, document the state changes that matter, assign a human owner, and write the failure tests before selecting the tool. That brief can become a focused implementation scope or a workstream within fractional CMO leadership.

This page will remain an implementation study unless verified deployment or outcome evidence supports an update. No conversion lift, cost saving, or additional signed-case result is claimed here.

Use the stage definitions and tests in our personal injury intake optimization guide.

Discuss a focused intake consulting scope.