Softment

AI by Industry

AI for Education

Improve learner support and reduce admin workload with grounded assistants, reliable workflows, and safe personalization.

Start smallFixed-scope pilot
Delivery1–2 weeks typical
IncludesSource + handoff
RAG tutors grounded in course contentStudent support automation and triageKnowledge base assistants for staff and instructorsWorkflow automation for onboarding and reportingGuardrails and evaluation baselines

Industry Problems

Where teams get stuck

Common bottlenecks we see before AI workflows are implemented.

Learner support volume

FAQ and course questions create high support load—especially around exams and deadlines.

Content discoverability

Learners struggle to find answers across long modules, PDFs, and recorded material.

Admin overhead

Enrollment, reminders, and reporting workflows are often manual and inconsistent.

Quality and safety

Education assistants need guardrails and evaluation to avoid misinformation and harmful guidance.

AI Solutions

What we build

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

RAG tutor grounded in curriculum

Ground answers in your course content with citations and safer fallback behaviors.

Student support triage

Automate intake, route to staff, and create structured tickets for complex cases.

Staff knowledge base assistant

Internal assistant for policies, SOPs, and operational guides to reduce ambiguity.

Automation workflows

Onboarding reminders, reports, and tool syncing with retries and monitoring.

Stack

Suggested implementation stack

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

OpenAI / Claude (LLM)RAG + citationsVector DB (pgvector / Qdrant)Eval sets for accuracy and safetyWorkflow automation (n8n / Make)Analytics and feedback loop hooks

Automations

Example automations

A few workflows that usually deliver ROI quickly.

Course Q&A assistant grounded in modules and PDFs

Support triage that routes tickets by intent and urgency

Auto-generate lesson summaries and action items (optional)

Automate reminders and reporting workflows

Quality checks with evaluation and regression tests

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.

Compare

Decision guides

Quick comparisons to help you choose the right approach before building.

FAQ

Frequently asked questions

Can the assistant cite course content?

Yes. We use RAG with citations so learners can verify the source material and trust the response.

Can you add guardrails for safety and accuracy?

Yes. We recommend eval sets and safer fallback behaviors, plus moderation and policy handling where needed.

Can this integrate with our LMS?

Often yes, depending on LMS APIs and your content structure. Integration scope is confirmed during kickoff.

Can we start with one course as a pilot?

Yes. A single-course pilot is a common starting point before scaling across the full curriculum.

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.