You no longer buy software for your agents to use. You buy the work done — tickets closed and appointments booked — for a fraction of your support payroll. A human resolves a case for ~R$10; our agents, for ~R$3.
Enter your support volume or how much you spend today. The math uses your own numbers.
Edit with your real number: (salaries + overhead) ÷ cases per month.
Cost per case with DayAndNight: R$3
Illustrative estimate. Default human cost R$10/case (editable); DayAndNight price R$3/case. We validate the numbers with you on the demo.
Connect where your customer already is
A real case from start to finish: three agents hand the case between them, query systems, execute actions, and respond to the customer. Every line is logged, with timestamp, latency, and identifier.
Example case — illustrates how the agents collaborate with each other.
The agent doesn't "know" anything off the top of its head. It can only say what it managed to retrieve. Below is the reply the customer received — and behind every sentence, the exact query, the record that came back, and the latency. The same identifiers show up in the audit trail above.
Tap a highlighted phrase to see where it came from.
SELECT id, valor, status, metodo FROM pedidos WHERE id = 48213;
§7.2 — The early-termination penalty does not apply to cancellations requested within 7 (seven) calendar days of signup.
emitir_reembolso(pedido=48213, valor=149.90, motivo="cláusula 7.2")
"erp.getOrder()" isn't magic: it's one of five real ways to connect. We pick the right one for your system — and tell you which before you sign. Underneath, always the same interface: per-tenant scope, credential in the vault, allow-listed path, fail-closed, fully audited.
REST/JSON over OAuth2 · credential held by reference · allow-listed path. When the system has an API, getCase() is a real GET.
Like your best agent — only 24/7, on any channel, and always under your rules.
Channels + your CRM, ERP, order base, and documents, via ready-made connectors.
Understands intent with full context and picks the best action — within the defined policy.
Executes — refund, update, scheduling — by calling the tools, or escalates with a summary.
Every action logged and observable; you set guardrails and audit in real time.
Each AI agent has a name, a role, and a scope of action that you decide. Triage receives and passes the case along; each specialist acts in its domain and hands it to the next — collaborating on the same case, in your systems, day and night.
Receives, understands intent, and routes to the right specialist.
Refunds, invoices, billing, and payments — straight in the ERP.
Contracts, clauses, LGPD, and policies, read in real time.
Product support and troubleshooting with the customer's history.
Cancellation, win-back, and negotiation within your policy.
That's how we built our operation. It's how you build yours — you define the team, the rules, and what each AI agent can do.
From customer intent to a completed action in your systems — the agent does the work, not just the talking.
Calls tools and APIs across your stack: issues a refund, opens/updates a ticket, changes an order, triggers a flow.
Checks policies, contracts, and manuals in real time to answer with the right rule — not a guess.
Runs queries against your ERP/CRM/database to pull the order, history, and status — real context, not generic.
Starts on WhatsApp and ends on a call — same agent, same memory, with the customer repeating nothing.
Not confident? Hands off to a human with a complete summary of the case and the actions already taken.
Audit trail for every action, live monitoring, and guardrails. LGPD · per-tenant isolation.
Enterprise RAG demands three things at once: protect the data, see everything the agent does, and guarantee it answers only with the truth from your base. That's how DayAndNight is built.
Per-tenant isolation, end-to-end encryption, and an audit trail are part of the architecture from day one. ISO 27001 certification is in progress — the controls it formalizes already operate.
Real-time metrics, the cases in progress right now, and the load on each channel and agent. You see everything happening — and step in whenever you want.
Demo with example data — illustrates the panel you'd follow in production.
More volume, in the human model, means more people: more hiring, more training, more overnight shifts. Agentic resolution breaks that curve — the marginal cost of one more case trends to zero.
Illustration of the cost model, not a measured result. The structural point: agentic resolution decouples "more volume" from "more people".
The numbers are yours. The pilot produces them.
We won't show you another customer's metric as if it were yours. We run a pilot on your channels and measure, with your data, what matters:
DayAndNight.ai is what your customer feels: someone always awake on the other side. Day and night, weekend, holiday, three in the morning — the agent answers, decides, and resolves, with no shift and no queue.
It's the whole thesis in two words: while your team sleeps, your support stays standing. For a company that loses customers outside business hours, the name already delivers the promise.
Put the team of AI agents to work on your channels. Start with a pilot: you set the goal, we prove it with your data.
Every pilot is co-built with your team and your operation. That's why we take only a few at a time.
