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AI agents · Atlanta, GA

AI agents for the Southeast's operations capital

Atlanta moves freight and money at continental scale — and both generate the same byproduct: repetitive communication and documents. We build AI agents that handle both, with the auditability logistics and fintech demand.

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Agents for the two Atlantas

For the logistics Atlanta — the 3PLs, brokers and distribution operations around the airport and the I-285 web — we build document agents (rate cons, PODs, invoices into your TMS), shipper-facing status agents, and after-hours inquiry agents that qualify freight while your competitors' phones ring out. We run our own TMS in production; this is our native terrain.

For the payments-and-services Atlanta, we build support agents with fintech-grade discipline: constrained answers from approved knowledge, complete audit logs, confidence-gated escalation, and no freelancing on anything touching money. Plus the lead-intake agents the city's booming services firms need to answer the growth they're chasing.

  • Logistics document agents: rate cons, PODs, invoices → your TMS
  • Shipper status agents answering from live tracking data
  • Support agents with audit-grade logging and constrained knowledge
  • Lead-intake agents: sub-minute response, qualification, booking
  • Reporting agents: ops and pipeline summaries, written overnight
  • Voice agents for after-hours and overflow call coverage

Governance that passes your review

Atlanta enterprises ask the right questions: where does the data go, who can see it, what happens when it's wrong, show me the logs. Our answers are architectural — your data stays in agreed boundaries, no shared-model training, every agent action logged with inputs and outputs, confidence thresholds with human review queues, and kill switches you control.

Practicalities: we're in your time zone (Toronto = Eastern), invoice in USD with a W-8BEN, and price with fixed build costs plus a monthly run cost you can model. Security questionnaire? Bring it — precise answers are an engineering habit, not a sales skill.

Deployment path

Week one: workflow audit and agent selection — we pick the deployment with the fastest measurable payback. Weeks two through five or six: build, train on your materials, shadow-run against live traffic with measured accuracy. Supervised go-live follows, with autonomy expanding on evidence and a weekly quality report your ops leads actually read.

The usual Atlanta arc: document or support agent first, lead intake second, voice third. Each fixed-scope, each measured, each paying for the next.

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AI Agents in Atlanta — common questions

Yes — deployment into your cloud boundary where required, no shared-model training on your data, complete action logs, role-based access, and precise questionnaire answers. Fintech-adjacent review is a standard part of our Atlanta engagements.

US$8k–20k to build depending on integrations; US$300–1,500/month to run at typical volumes. Fixed quotes after the audit — no per-seat licensing that punishes you for growing.

That's our home turf — we build TMS software. API, EDI, email parsing, database: whatever your platform honestly supports, including the ones with no API at all.

It says so and routes to a human with full context — it never guesses on anything that matters. Confidence thresholds are set with you during the build, and every escalation is logged so thresholds improve on evidence.

Against the baseline we capture in the audit: response times, tickets deflected, data-entry hours, after-hours leads recovered. The weekly report shows the agent's numbers against those baselines — you'll know the payback period from your own data, not our slide deck.