AI+ Speech & Language Therapists
Assess, Plan and Deliver Therapy Smarter with AI
Their voice comes first. AI can wait its turn.
You transcribe the language sample. You draft the discharge summary. You update the MDT. Meanwhile the client in front of you — and the swallowing assessment that can't wait — need your full attention now. AI+ Speech & Language Therapists gives you the LISTEN Protocol for AI governance built around recording confidentiality and dysphagia safety, the SPEAK Framework for AI across your full practice cycle, and 25+ prompt templates for the documentation that eats your day. Built by an AI engineering firm for SLTs whose clients' voices deserve to be heard first.
- 18 ready-made, market-tested prompts: language sample analysis, therapy planning, AAC resources, reports
- The LISTEN Protocol — six-part AI governance check built around recording privacy and swallowing safety
- The SPEAK Framework — AI mapped across the full assess-to-record SLT practice cycle
- A worked critique showing an AI-drafted therapy goal caught before a family meeting
- A 90-day plan with paediatric, adult neuro-rehabilitation, and voice/fluency/dysphagia tracks
A registered speech and language therapist (UK/Ireland, HCPC/CORU) or speech-language pathologist (US ASHA/state licensure, Canada, Australia Speech Pathology Australia) working across paediatric, adult neuro-rehabilitation, voice, fluency, dysphagia, or AAC caseloads in NHS, hospital, school, or private practice settings.
Also for:Speech and language therapy assistants; SLT/SLP students and clinical fellows; team leads and service managers considering AI adoption; MDT colleagues (OTs, dietitians, ENT) who work alongside SLTs on dysphagia and communication caseloads.
- Apply the LISTEN Protocol to classify session recordings, language samples, and client data, and confirm accountability before any professional AI interaction
- Use the SPEAK Framework to integrate AI across the full SLT practice cycle — from screening through therapy delivery to documentation and review
- Use AI to support language sample analysis, therapy material generation, AAC resource development, and clinical documentation — while retaining full professional accountability, and treating dysphagia safety decisions as entirely non-delegable
- Identify appropriate AI use cases across specialist SLT settings including paediatric, adult neuro-rehabilitation, and voice/fluency practice
- Build and execute a 90-day AI adoption plan calibrated to their caseload and setting
- Diagnostic
- How AI-ready is your SLT practice?
- Chapter 1
- AI in Speech and Language Therapy Right Now
- Chapter 2
- The LISTEN Protocol: Your AI Governance Foundation
- Chapter 3
- The SPEAK Framework: AI Across the SLT Practice Cycle
- Chapter 4
- Assessment: Language Sampling, Speech Sound Analysis, and AAC Evaluation with AI
- Chapter 5
- Therapy Planning and Goal-Setting with AI
- Chapter 6
- AAC and Assistive Communication Technology with AI
- Chapter 7
- Dysphagia: The Workflow Where AI Has No Role in the Safety Decision
- Chapter 8
- AI in Specialist SLT Settings: Paediatric, Adult Neuro-Rehabilitation, and Voice & Fluency
- Chapter 9
- Documentation, CPD, and Evidence-Based SLT Practice
- Chapter 10
- Your 90-Day Speech and Language Therapist's AI Practice Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for SLTs whose clients' voices deserve to be heard first.
