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TargetFlo — ABA therapy center operations software

AI & MCP Assistant

Coming soon

An AI operations assistant for your ABA center — without PHI risk

TargetFlo is building an MCP server that connects Claude to non-PHI operational data: pipeline counts, task backlog, fax queue status, and training completion. Ask in plain language. Get aggregates, never a client record.

What is the TargetFlo AI & MCP Assistant?

The TargetFlo AI & MCP Assistant is a planned Model Context Protocol server that gives Claude read-only access to TargetFlo's operational aggregates — dashboard metrics, pipeline stage counts by location, task summaries, fax queue status, and course completion rates. It is an AI operations assistant for healthcare that uses non-PHI data only: client names, dates of birth, diagnoses, and insurance IDs are never available to the model. It builds on the live AI features described on the AI integrations page and the isolation described on the Security page.

Example prompts

Questions an operations leader could ask Claude

Every one of these is answerable from counts and rates. None requires knowing who a client is.

  1. 01

    How many referrals entered the Insurance stage this month, by location?

  2. 02

    Which location has the most faxes waiting in triage older than 48 hours?

  3. 03

    What percentage of RBTs have completed the HIPAA refresher course?

  4. 04

    How many tasks are overdue for the intake team in Charlotte?

  5. 05

    Compare Pending Authorization counts this month versus last month.

  6. 06

    What is the median days-in-stage for Diagnostics across all sites?

  7. 07

    How many referrals were closed as 'not accepted' this quarter?

  8. 08

    Which courses have the lowest completion rate among new hires?

  9. 09

    How many eligibility checks failed with 'member not found' this week?

  10. 10

    Summarize this week's intake pipeline movement for the leadership meeting.

Data the assistant can use

Six operational sources, all aggregates

Dashboard metrics

The same KPIs leadership sees on the TargetFlo dashboard, queryable in plain language.

Pipeline counts by location

Cards per stage, per site, per period — with movement between stages over time.

Task summaries

Open, overdue, and completed task counts by team, role, and priority. Never the task body.

Fax queue status

How many documents are waiting, how old they are, and how many were linked today.

Course completion rates

Completion and certificate rates by course, role, and location for compliance reporting.

Eligibility outcomes

Counts of checks run and outcome categories — active, inactive, not found — with no member data.

Boundaries

What the assistant can and cannot see

The line is the PHI schema. Everything on the left is operational. Everything on the right is isolated and unreachable by the MCP server.

Operational data available to the TargetFlo MCP assistant versus PHI that is never exposed
Can seeCannot see
Pipeline stage counts by location and time periodClient names, dates of birth, addresses
Median and average days-in-stageDiagnosis codes or clinical assessment results
Fax queue size, age, and triage status countsFax contents, extracted fields, or document images
Task counts by status, owner role, and due dateTask titles or descriptions that reference a client
Course completion rates and certificate countsIndividual employee test scores tied to a name
Eligibility check volume and outcome categoriesMember IDs, payer responses, or coverage details
Org-level KPIs already on the dashboardAnything stored in the PHI schema

Safety

AI access is scoped to operational aggregates. PHI never leaves your controlled environment.

The assistant is useful precisely because it is limited. It answers the questions a leadership meeting asks, and it is structurally unable to answer the questions a breach would.

Server-side aggregation

Counts and rates are computed inside TargetFlo. Row-level data is never serialized to the model.

Scoped tokens

Per-organization, per-role tokens reach the ops schema only. Revocable in admin at any time.

No PHI schema access

The MCP server has no connection path to client, guardian, insurance, or document tables.

Audit log

Every tool call — who, what, when, which parameters — sits in the same log as PHI access events.

Architecture note

How a question becomes an answer

Four steps, all inside TargetFlo's boundary.

  1. 01

    Question arrives via MCP

    Claude calls a TargetFlo MCP tool such as pipeline_stage_counts with parameters like location and date range. The tool list is fixed; there is no free-form query.

  2. 02

    Token is checked

    Each connection uses a scoped token issued per organization and per user role. Tokens can only reach the ops schema, never identity or PHI.

  3. 03

    Aggregate is computed server-side

    TargetFlo runs the count or rate against operational tables and returns a number, a table, or a short summary. Row-level data never leaves the server.

  4. 04

    Call is logged

    Tool name, parameters, requester, timestamp, and response shape are written to the audit log, alongside every other TargetFlo action.

Roadmap

Coming soon

Help shape the first release

The MCP server is designed and on the roadmap. The waitlist is where we learn which questions operations leaders actually ask, so the first set of tools matches a Monday morning meeting rather than a demo script.

  • Early access when the read-only tool set ships
  • Input on which aggregates and breakdowns come first
  • Review of the token and audit design against your compliance requirements
  • Works with Claude via the open Model Context Protocol
Planned MCP tools (read-only)
  • pipeline_stage_counts(location?, from, to)
  • stage_dwell_time(stage, location?)
  • fax_queue_status(location?)
  • task_summary(team?, status?)
  • course_completion(course?, role?)
  • eligibility_outcomes(from, to)

FAQ

AI & MCP Assistant FAQs

Join the MCP Assistant waitlist

Book a demo to see the live platform and tell us the three questions you most want answered on Monday morning. We will build the first tools around them.