Advanced capabilities

This is not an AI report writer. It is the reasoning layer under the whole evaluation.

A report writer starts when the thinking is finished and turns notes into prose. PsychAssist.ai starts at intake and holds the entire case as one body of evidence - every score, document, session note and observation - so that the report is the output of the reasoning rather than a substitute for it.

These are the capabilities that make that difference concrete. Each one exists because a report that reads well and a report that holds up are not the same object.

This page is what the system does. If you want the sequence you follow - configuring a service, running the assessment, delivering the report - that is how it works.

What PsychAssist.ai does

Intake to downstream documentation, in one record

  1. 01IntakeForms, referral questions and history captured into the case, not into a folder.
  2. 02AssessmentSessions, observations, protocols and score reports, each carrying its informant and date.
  3. 03ExtractionUploaded documents read into structured facts, held behind an approval gate.
  4. 04ReasoningCross-measure patterns, convergent and divergent evidence, tested against the case itself.
  5. 05ReportDrafted in your voice, from your rules, with every claim resolving to its source.
  6. 06DownstreamSchool report, physician summary, therapist letter, family guide - from the same record.

Most tools in this category occupy stage 05 alone. The reason a generic model produces a plausible report is that it never had stages 01 to 04.

01Pipeline

Your whole caseload, one screen.

Every patient, every stage, at a glance - from referral through testing to signed report.

This one shipped earlier in the year and it is the reason we are confident about the rest. It was the first time we treated the assessment as a system rather than a series of documents. Everything above is what that made possible.

Before: the caseload lived across a spreadsheet, a calendar and your memory.

The full assessment caseload shown by stage, from intake to delivered report

02Your voice, your template, your brand

The platform does not have a voice. It has yours.

Upload a report you have already written and the system extracts your phrasing, your structure, your recommendation style and how you introduce a measure - and that overrides every default.

Underneath it sit the settings a practice needs: how generated text refers to a child client, an adult client, a family or a professional; whether results are organized by domain or by measure; length, technical level, emphasis and the AI disclosure. Set once for the clinic, overridable on any single report.

Delivery carries the same identity. A designed cover with your logo and palette, or the dense traditional layout your referral sources expect, with your credentials and signature applied only after you approve.

Before: the report sounded like the tool that wrote it, and looked like everyone else’s.

Report configuration: length, writing style, technical language level, data presentation, emphasis areas and disclosures including the AI and technology disclosure

03Document intelligence and approval

We read anything. You confirm what is true.

Every uploaded protocol and score report is checked on arrival: patient name match, session date clarity, document source, scores present - with a confidence score attached. If a handwritten 3 could be an 8, it flags it rather than guessing.

What comes out is structured and editable: facts with the informant and confidence on each, score tables, observations. AI-derived insights are separated from raw extraction and proposed rather than assumed - you accept the ones you find clinically sound and anything you skip is discarded.

Nothing is available to the report until you approve the document.

Before: extracted data went straight into the draft, and you found the errors later, in the finished report.

The check on upload: a confidence score with patient name match, document source clarity, scores summary present and session date clarity, above the extracted summary
AI-derived insights proposed for review - each naming the informants it was based on, accepted or discarded, with only accepted insights saved

04Agentic case chat

Take a meeting with your case.

Ask the case a question in plain language and get an answer drawn from that patient's own data. Why this diagnosis held. What contradicts it. How this presentation differs from a similar one you saw last month. Where a score sits against the rest of the profile.

Then ask for the change - and the report revises in place, in your voice, with the sourcing intact.

Or start from where most clinicians start.

  • Defensibility check
  • Peer review this draft
  • Second opinion on the diagnosis
  • Signals in the noise

Before: you scrolled between documents to reconstruct your own reasoning, then retyped the paragraph.

Asking whether a teacher/parent split on anxiety ratings is better explained by executive dysfunction than by an independent anxiety disorder, with the report alongside

05Insights and patterns

The patterns you would have found on your third read.

Across every measure in the case, the system surfaces cross-instrument formulations - the constellation rather than the individual scores. Anxiety-driven perfectionism presenting as a compensatory strategy. An executive functioning profile that explains an achievement gap the achievement testing alone would not account for.

Each one is presented with its central, supporting and diverging evidence, cited. You choose what carries into the report and what does not.

This is what a block editor cannot do. Assembling paragraphs is a formatting problem. Seeing a pattern across nine instruments is a reasoning problem.

Before: the constellation was there in the data. Whether you found it depended on having time for a third read.

Cross-measure insights with central evidence, supporting patterns and diverging patterns shown side by side and cited

06Convergent and divergent evidence

The case against your own conclusion, surfaced.

Every diagnosis the system surfaces is tested against that patient's own dataset and presented three ways: what supports it, what converges on it from another direction, and what diverges from it.

Differential diagnosis has always required weighing the evidence that argues against you. This is the first system that puts that evidence in front of you by default rather than leaving you to remember to look for it.

Every bullet is cited to its source. You decide what carries into the report.

Before: the disconfirming evidence was in the data. Whether it reached the report depended on how tired you were.

Confirming diagnoses in the report wizard, each tested against the case with supporting, convergent and divergent evidence, every bullet cited to its source

07Cite and source

Every sentence knows where it came from.

Every generated statement carries its source on the sentence: which measure, which uploaded document, which session note, which behavioral observation you recorded at the time.

Not in a support ticket. Not on request. On the sentence, while you are reading it.

Before: you took the sentence on trust, or you went and checked it yourself.

Real sentences from our published report example. Select one to see what it rests on.

Overall cognitive ability falls in the average range, with verbal comprehension, visual-spatial reasoning and fluid reasoning all near the population mean.Working memory is a significant relative and normative weakness, falling at the 8th percentile.Processing speed is also below average at the 18th percentile, with accurate but slow output across both tasks.

1 source behind this sentence

  • measureWISC-VWorking Memory Index = 79Index score (M = 100, SD = 15) · 8th percentile · 95% CI 73-88

See a complete report where every claim resolves like this →

08Secondary documents

One assessment. Every document it owes.

An evaluation does not end at the report. There is the school report, the summary for the referring physician, the letter to the therapist, the plain-language guide the family actually reads.

Fourteen built-in formats are filtered by who is going to read them. Or describe the document you need in plain language and the system rewrites it into a structured brief for you to approve before it generates - each result in its own editor, each exportable.

Before: four more documents, written from scratch, in the evenings.

The built-in template library: fourteen output formats filtered by audience - child, teen, parent or guardian, school, clinical handoff, coach or tutor, legal and feedback session
The generated document previewed before saving: a Section 504 and IEP family meeting preparation guide and in-meeting advocacy sheet

Questions

Is PsychAssist.ai an AI report writer?
No. An AI report writer starts once the thinking is finished and turns notes into prose. PsychAssist.ai runs the evaluation from intake through downstream documentation, holding the whole case as one body of evidence - scores, uploaded documents, session notes and observations - so the report is the output of the reasoning rather than a substitute for it. Drafting is one stage of six.
Can you ask questions about a psychological assessment case in plain language?
Yes. PsychAssist.ai lets a clinician question the case directly - why a diagnosis held, what contradicts it, where a score sits against the rest of the profile - and answers from that patient's own data rather than from a language model's general knowledge. Asking for a change revises the report in place with sourcing intact.
How can every claim in an AI-generated psychological report be traced to its source?
In PsychAssist.ai every generated statement carries its source on the sentence: which measure, which uploaded document, which session note, which behavioral observation was recorded at the time. Provenance is visible while the report is being read rather than produced on request afterwards.
Does AI assessment software show evidence that contradicts a diagnosis?
PsychAssist.ai tests every diagnosis it surfaces against the patient's own dataset and presents it three ways: what supports it, what converges on it from another direction, and what diverges from it. Disconfirming evidence is surfaced by default rather than left to the clinician to remember to look for.
What stops incorrect extracted data entering a psychological report?
Uploaded protocols and score reports are read into structured facts, each carrying its informant and a confidence score, and held behind an approval gate. The clinician sees the source document beside the extraction, corrects anything wrong, and approves. Only then is it available to the report.

Measured against a standard we published

Every capability above answers one of the six requirements in The Defensible Assessment Documentation Standard. It is written to apply to any system, including ours, and it is free to read, cite or adopt.

Read the standard →