AI agents

Agents that take the whole task, start to finish.

Not a chatbot bolted onto your site. A Tempo agent reads your data and acts in your tools, and it knows when to hand a decision to a person. It runs the routine work your team shouldn't have to.

Anatomy

Two kinds of agents we build.

Some tasks follow a fixed path; others need the agent to decide as it goes. We build both, grounded in your systems at every step.

Sequential fixed pipeline

Best when the steps never change, like invoice processing or employee onboarding.

  1. Trigger

    event or schedule

    A ticket arrives, a file lands, an alert fires, or a timer ticks.

  2. Retrieve

    RAG on your data

    It reads the relevant docs and records from your systems.

  3. Decide

    LLM reasoning

    It reasons over that context and plans the next step.

  4. Act

    tools via MCP

    It calls your tools to do the real task, not just write a reply.

  5. Check

    guardrails & evals

    Policies and approval gates catch anything off before it ships.

  6. Log

    observability

    Every action is logged and costed, ready to audit later.

  7. then the loop repeats

Agentic plans its own path

Best when every case is different and the agent has to choose, like resolving a support ticket or triaging an alert.

Search Query data Call API Send Reason & plan

It plans, calls a tool, reads the result, and re-plans, looping until the goal is met.

Examples

Four agents, and what they actually do.

Each one is a real workflow with a guardrail on every action. Outcome figures are illustrative until we baseline yours.

Support Resolver

Resolves tier-1 tickets end to end and escalates the rest with context.

Trigger
A new ticket lands in Zendesk or Intercom.
Reads
Help center, past tickets, and the customer's order in Shopify.
Acts
Drafts the reply, issues the refund, and routes anything it can't close.
Guardrail
Refunds above your limit wait for a human yes.
Outcome illustrative

~60% of tier-1 tickets closed without a person.

Plugs into
Zendesk Intercom Shopify Slack

Invoice Processor

Reads incoming invoices and files them for approval, matched to the PO.

Trigger
An invoice arrives by email or lands in Drive.
Reads
Purchase orders, the vendor list, and prior bills in QuickBooks.
Acts
Extracts the line items and matches the PO, then files it for sign-off.
Guardrail
Mismatches are flagged, and nothing pays without approval.
Outcome illustrative

From ~10 minutes of manual entry to under one.

Plugs into
Gmail Google Drive QuickBooks NetSuite

Knowledge Answerer

Answers “where is…” questions from your docs, with the source linked.

Trigger
Someone asks a question in Slack or Teams.
Reads
Notion, Confluence, and shared drives, plus past threads.
Acts
Answers with the source linked, and escalates when it isn't sure.
Guardrail
Only answers from approved docs, and says so when it can't.
Outcome illustrative

~70% of repeat questions answered on the spot.

Plugs into
Slack Notion Confluence Google Drive

Ops Watchdog

Watches alerts and dashboards, triages, and starts the runbook.

Trigger
An alert fires in Datadog or PagerDuty, or a timer ticks.
Reads
Dashboards, logs, and the runbook for that service.
Acts
Triages the alert, runs the first safe runbook step, and opens an incident.
Guardrail
Read-only by default; write actions need a named owner.
Outcome illustrative

First response in seconds, around the clock.

Plugs into
Datadog PagerDuty Slack GitHub

Integration

Fits the workflow you already have.

No rip and replace. An agent connects to the tools your team already uses through MCP, and runs where the work already happens.

Works with
  • Slack
  • Gmail
  • Notion
  • Jira
  • Linear
  • GitHub
  • Datadog
  • Shopify
  • Zendesk
  • Intercom
  • HubSpot
  • Stripe
  • Google Sheets
  • Confluence
  • PagerDuty
  • + your stack

Roll it in at your pace.

Start with the agent watching, and move up a rung only when you trust it. Nothing changes without your say.

  1. 01

    Shadow

    You stay in control

    The agent runs alongside your team and proposes actions, taking none. You compare its calls to what you'd have done.

  2. 02

    Supervised

    You approve each action

    The agent acts, but every action waits for a one-click yes. Each approval teaches it an edge case.

  3. 03

    Autonomous

    You handle exceptions

    The agent runs the routine cases on its own, and only the unusual ones reach a person.

Let's put AI to work.

Tell us the workflow that's eating your team's time. We'll tell you if it's buildable, on the first call.

30-min call → proposal in 5 days. Fixed price or retainer. No commitment.