Softment

AI by Industry

AI for Healthcare

Ship healthcare AI features with privacy-first design, safer grounding, and predictable operational controls.

Start smallFixed-scope pilot
Delivery1–2 weeks typical
IncludesSource + handoff
Document AI for intake, claims, and formsGrounded assistants for staff knowledge and SOPsScheduling triage with safer escalationAutomation workflows with approvals and audit logsEvals + monitoring + guardrails included

Industry Problems

Where teams get stuck

Common bottlenecks we see before AI workflows are implemented.

Manual intake and forms

Patient intake, claims, and form processing create bottlenecks and errors when handled manually.

Knowledge fragmentation

SOPs and internal docs are hard to search, causing inconsistent answers and rework.

High compliance needs

Workflows must be audit-friendly with clear access controls and privacy-safe logging.

Operational overload

Scheduling, triage, and support workflows create repeated tasks that can be safely automated.

AI Solutions

What we build

Implementation-ready modules designed for reliability, safety, and real operations.

Document extraction + validation

Schema-based extraction with validation and review hooks for safer, audit-friendly outputs.

Internal knowledge assistant

RAG assistant grounded in internal SOPs to reduce inconsistency and speed up staff responses.

Workflow automation with approvals

Event-driven workflows with approval gates, retries, and clear failure visibility.

Guardrails and monitoring

Safer responses, evaluation baselines, and monitoring so quality stays stable over time.

Stack

Suggested implementation stack

A practical stack we can adapt to your constraints and existing systems.

Document parsing + OCR/vision (optional)OpenAI / Claude (LLM)Schema validation (Zod/JSON schema)RAG for internal SOPsRBAC + audit logsTracing + evaluation baselines

Automations

Example automations

A few workflows that usually deliver ROI quickly.

Extract fields from forms and route to review queues

Staff assistant grounded in internal SOPs and policies

Scheduling triage with safe escalation rules

Ops automation with approvals and audit trails

Monitoring and eval-driven quality improvements

Standard

AI delivery standard

Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.

Logging + tracing

Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.

Guardrails + safety

Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.

Evals + regression tests

Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.

Cost + latency controls

Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.

Documentation + handoff

Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.

Security-first integration

Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.

FAQ

Frequently asked questions

Can you work with strict privacy and compliance constraints?

Yes. We design with minimal data retention, access controls, and audit-friendly logs. Exact compliance requirements depend on your policies and stack.

Do you support OCR for scanned documents?

Yes. OCR/vision can be scoped based on document quality, languages, and accuracy requirements.

Can we add approvals before automation actions execute?

Yes. We can include human-in-the-loop approvals for higher-risk workflows and keep an audit trail.

Do you include evaluation and monitoring?

Yes. We recommend eval baselines and monitoring hooks so you can measure quality and catch regressions.

Ready to start?

Want an AI pilot for your workflow?

Start with a fixed-scope gig or request a tailored implementation plan for your systems.