Softment

AI by Industry

AI for Logistics

Automate dispatch, routing, ticket handling, and back-office ops with AI + workflows built for reliability.

Start smallFixed-scope pilot
Delivery1–2 weeks typical
IncludesSource + handoff
Dispatch copilot for faster decisionsWorkflow automation for tickets and ops syncingDocument intelligence for invoices and claimsVoice and chat interfaces for field teams (optional)Monitoring and runbooks for operators

Industry Problems

Where teams get stuck

Common bottlenecks we see before AI workflows are implemented.

Operational noise

Ops teams spend time on repeated updates, manual routing, and chasing missing data across tools.

Fragmented systems

CRMs, ticketing, dispatch, and spreadsheets drift without reliable integrations and retries.

Document and exception handling

Invoices, claims, and exceptions require extraction, validation, and review workflows.

Limited visibility

Without monitoring and runbooks, failures show up late and are hard to debug under pressure.

AI Solutions

What we build

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

Ops automation suite

Event-driven workflows for routing, syncing, and approvals with retries and failure visibility.

Dispatch/admin copilot

Summarize context, draft responses, and trigger approved actions behind RBAC and allowlists.

Document extraction pipelines

Schema-based extraction with validation and review hooks for ops accuracy.

Observability and alerts

Tracing, dashboards, and alerts so operators can trust automation at scale.

Stack

Suggested implementation stack

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

n8n / workflow automationWebhooks + idempotency patternsOpenAI / Claude (LLM)Queues and retries (optional)RBAC + audit logsMonitoring + alerting

Automations

Example automations

A few workflows that usually deliver ROI quickly.

Ticket triage and routing with structured fields

Ops updates synced to CRM and internal dashboards

Exception handling with approvals and audit trails

Invoice extraction and validation workflows

Slack alerts and runbooks for failures

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 this integrate with our existing ticketing and CRM tools?

Yes. We can integrate with tools that provide APIs/webhooks. Reliability patterns (retries, idempotency, monitoring) are included in the scope.

Do you include monitoring and alerts?

Yes. We can add tracing and alerting recommendations, and include operator runbooks for critical workflows.

Can we add approvals before actions run?

Yes. Approval gates are a common pattern for higher-risk updates and help keep automation safe.

Will this replace our dispatch software?

Not necessarily. Many teams start by integrating and augmenting existing tools, then expand features as confidence grows.

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.