AI That Runs Freight Operations,
Not Just Reports On Them

• Sub-second turn-taking

  Latency tuned to under 800ms perceived turn-take, with barge-in and graceful interruption handling that feels like a human operator, not a robot.
• Escalation with context

  When a human takes over, the entire conversation, intent, and customer history transfers — no 'please tell me again why you called.'
• Compliance-aware speech

  PII redaction, recording disclosures, and jurisdiction-specific scripts enforced at the model layer, not bolted on later.
• Outbound at scale

  Campaigns run with rate limiting, quiet-hours awareness, auditory honor lists, and a shared answer-machine policy.

248 calls handled today. Mean handle time 2:41. Escalation rate 3.2% — within nominal band.

• Deployment Standard cloud or dedicated tenant
• Latency Sub-800ms perceived
• Languages 27 production-grade
• Compliance Audit-ready

• Grounded in your knowledge

  Retrieval over your documents, ticket history, and product specs — with citations the user can click through to verify the source.
• Multi-channel parity

  Same brain, every surface. The conversation that started on the website continues seamlessly in WhatsApp three days later.
• Intent clarification

  When a request is ambiguous, the agent asks one targeted clarifying question rather than guessing and apologizing later.
• Live-agent handoff

  Smooth transfer to a human with a one-paragraph context summary, draft reply, and the model's recommended next steps.

Average resolution: 1 turn for FAQs, 3 turns for billing, 4 turns for technical. CSAT 4.6 / 5 over last 30 days.

• Channels Web, WhatsApp, Slack, Teams, SMS, IG, FB, Email
• Knowledge RAG with citations
• Languages 27 production-grade
• Latency First token under 600ms

• General ledger that ties out

  Multi-entity, multi-currency, with sub-ledger reconciliation that runs continuously — not just at month-end.
• Procure-to-pay

  Requisition, approval, three-way match, and vendor payment in one workflow your auditor can trace top to bottom.
• Inventory & supply chain

  Real-time stock positions, demand forecasting, and supplier risk surfaced before the line goes down.
• HR & workforce

  Headcount, comp, performance, and time — under one record of truth, with role-based access enforced at the data layer.

12 of 14 reconciliations complete. 2 exceptions surfaced for controller review. Variance within 0.4% of forecast.

• Modules GL, AP, AR, PO, Inventory, HRIS, Payroll, FP&A, Tax, Treasury, Assets
• Multi-entity Unlimited
• Close 1–2 day cycle
• Compliance SOX, GAAP, IFRS

• Semantic layer with lineage

  Every metric defined once, governed centrally, and traceable from dashboard tile to source row.
• Forecasting that's honest

  Probabilistic forecasts with confidence intervals — not a single line that always looks like growth.
• Anomaly detection

  Continuous monitoring on KPIs that matter, with explanations for what changed and which dimensions drove it.
• Self-serve, governed

  Operators ask questions in plain language; the system answers using the certified semantic layer, never wild SQL.

Revenue tracking 102% of plan. Two leading indicators flipped negative — see annex. CAC payback steady at 9.4 months.

• Warehouses Snowflake, BigQuery, Databricks, Redshift
• Sources 200+ pre-built
• Semantic Layer Metric definitions as code
• Forecasting Bayesian + classical

• Contract lifecycle, cradle to closeout

  Award, mods, options, deliverables, and closeout tracked in one record. CDRLs and milestones tied to invoices and revenue recognition.
• DCAA-ready cost accounting

  Indirect rate pools, allocation bases, and unallowable cost segregation set up to match the structure your auditor will ask for.
• Labor distribution & timekeeping

  Compliant timesheet capture, project charging, and cost transfers — with the audit trail that survives a floor check.
• Pipeline & business development

  Live SAM.gov and USAspending integration. ML-scored opportunity matching. Capture, proposal, and award all in one place.

Period 7 of 12. Funded $2.4M of $4.8M. CPFF burn 51%, on plan. 3 deliverables due in next 14 days.

• Contract Types FFP, T&M, CPFF, CPIF, IDIQ, BPA
• Cost Accounting DCAA-aligned structure
• Integrations SAM.gov, USAspending, GSA
• Compliance FAR, DFARS, CAS

• Durable execution

  Workflows survive restarts, network failures, and downstream outages. Replay from last checkpoint, not from the top.
• Human-in-the-loop

  Pause for approval, request input, or hand off entirely — the workflow waits patiently and resumes when authorized.
• Retry & compensation

  Configurable backoff, jitter, and saga-style compensation for actions that need to be unwound on failure.
• Observability built in

  Every step traced, every input and output captured, every failure investigable from a single pane of glass.

84,212 workflow executions. 99.7% success on first attempt. 246 escalated to human review per policy.

• Connectors 300+
• Execution Durable, distributed
• Throughput Millions/day
• Observability Full trace per run

• Domain-tuned models

  Fine-tuning, distillation, and adapter training on your data — including parameter-efficient methods that fit your inference budget.
• Agent systems

  Multi-step, tool-using agents with planning, verification, and the supervision loops your operators trust.
• Evaluation harnesses

  Custom evals you run continuously, so model regressions are caught in CI, not in the field.
• Safety & red-team

  Adversarial testing against jailbreaks, prompt injection, and the failure modes specific to your domain.

Custom retrieval pipeline + fine-tuned reasoning model for legal review. Cycle time down from 14 days to 36 hours.

• Engagement Length 8–24 weeks typical
• Licensing Standard licensed delivery
• Team Senior applied AI engineers
• Stack Cloud-first

• Operating model

  Roles, governance, eval policy, model release process — the institutional plumbing that turns AI from a project into a capability.
• Platform stand-up

  Inference, retrieval, evaluation, observability, and a model gateway, deployed in your environment under your accreditation.
• Foundation model strategy

  A defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.
• Eval & governance

  The evaluation harness and governance forum your auditor and your engineers will both rely on.

Week 1–4: target architecture. Week 5–10: platform stand-up. Week 11–13: handover. Week 14+: your team operates.

• Length 90-day program
• Deliverables Platform + ops + team
• Deployment Standard cloud or dedicated tenant
• Models Mixed strategy

• AI strategy & roadmap

  A clear-eyed read on where AI moves the needle for your organization, where it does not, and what to sequence first.
• Architecture review

  Deep technical review of an existing or proposed AI system — model choices, data plane, costs, failure modes, and the parts the vendor did not tell you about.
• Build-vs-buy analysis

  A defensible answer to whether a capability should be built in-house, bought from a vendor, or assembled from open-source — with the math behind it.
• Vendor & RFP scoring

  Independent technical scoring of vendor proposals, with side-by-side architectures, cost models, and hidden risks surfaced before signature.

Architecture review delivered in 14 days. Three vendor RFPs scored. One acquisition recommended against.

• Engagement Fixed-fee, scoped
• Deliverables Written + working session
• Cleared personnel On request
• Confidentiality Mutual NDA standard

• Auto-logged activity

  Calls, emails, meetings — captured, summarized, and attached to the right opportunity without a rep ever opening the CRM.
• Next-best action

  Each opportunity gets a recommended action, owner, and trigger — based on stage, signal, and what worked on similar deals.
• Sequencing that adapts

  Multi-channel sequences that branch on engagement, pause on out-of-office, and stop on opt-out without supervision.
• Forecast you can defend

  Probabilistic, opportunity-level forecasts with the reasoning trace your CRO can present without a leap of faith.

Forecast 102% to plan. 14 deals at risk surfaced for AE review. CRM hygiene at 96% — up from 68% pre-deployment.

• CRM Salesforce, HubSpot, Dynamics
• Activity Capture Email, calendar, calls
• Sequencing Multi-channel
• Forecasting Bayesian