Autonomous systems for real operations

Autonomous AI agents that run real operations

AI agents that run real workflows

We design and deploy autonomous AI agents that take over repeatable operational work — campaigns, bookings, reporting, and data workflows.

These aren’t chatbots. They’re production systems with tools, guardrails, approvals, and failure handling — built to run without babysitting.

Based in South Africa. Working with teams worldwide.

1Describe 2Design 3Deploy
Autonomous workflows Campaign automation Bookings & scheduling Reporting agents
Autonomous agent demo

Drop work in. Watch it run.

Interactive
Live run
idle
Demo shows the run experience — real deployments connect to your systems.

How this works

Not a chatbot. A running system.

Agents don’t “answer questions” — they execute workflows. They connect to your tools, follow rules, request approvals when needed, and keep going until the job is done.

  • Real tools
    APIs, dashboards, CRMs, docs, inboxes
  • Guardrails
    Permissions, policies, constraints
  • Approvals
    Human sign-off at key steps
  • Retries & monitoring
    Resilient execution, observable runs
01

Runs continuously

Operates like a service, not a one-off interaction.

02

Uses tools and systems

Calls APIs, updates records, triggers automations.

03

Maintains state and rules

Tracks context, applies policies, follows playbooks.

04

Handles failure modes

Retries, escalates, and logs every step.

Where this applies

Where autonomous agents run

Deployed systems that execute work across your tools — with rules, approvals, and observable runs.

Campaign operations

Growth

Turn a brief into live ads and ongoing optimisation — without babysitting.

  • Touches
    Meta Ads, Google Ads, GA4
  • Guardrails
    Budget caps, brand rules, audience constraints
  • Approvals
    Creative + launch sign-off before publishing
Outcome: scheduled → live, tracked, and iterated.

Bookings & scheduling

Revenue

Handle inbound requests end-to-end: qualify, schedule, confirm, and follow up.

  • Touches
    Calendar, email, CRM, Slack
  • Guardrails
    Availability rules, lead scoring, SLA timers
  • Approvals
    Escalates edge cases for human review
Outcome: confirmed bookings with clean CRM records.

Reporting & ops

Ops

Generate the weekly numbers, flag anomalies, and ship updates to the right people.

  • Touches
    Data sources, Sheets, Notion, Slack
  • Guardrails
    Metric definitions, thresholds, audit trail
  • Approvals
    Optional review before publishing
Outcome: consistent reporting with fewer surprises.

The simulation above shows the run experience. Real deployments connect to your systems and operate under your rules.

What we build (and who it’s for)

Built for ops, growth, and revenue teams who need workflows to run reliably — not just generate suggestions.

If the process is repeatable, structured, and currently annoying, it’s probably a good fit.

Typical problems we replace
  • Manual handoffs between tools
  • Fragile automations that break silently
  • “AI assistants” that stop at suggestions
  • Reporting that burns hours every week

Fit checklist

Good fit vs not a fit

Good fit
  • Repeatable workflow with clear inputs/outputs
  • Multiple tools involved (CRM, calendar, ads, reporting)
  • Rules you can write down (SLAs, budgets, policies)
  • Exceptions exist — but most cases are standard
Not a fit
  • One-off creative or open-ended strategy
  • No source-of-truth systems to operate on
  • Unclear success criteria / constantly changing rules
  • Pure “write content” tasks with no execution loop

Rule of thumb: if a human follows a checklist and clicks around 3–5 tools, an agent can run it reliably.

How it works

A production workflow: connected to your tools, constrained by your rules, observable from day one.

What you get
A clear definition of the workflow, rules, and handoffs.
  • Workflow map + success criteria
  • Agent spec: tools, approvals, and failure handling
  • Runbook: monitoring, alerts, and escalation paths
How it ships
Incremental rollout with tight guardrails — then expand scope.
  • Start with one high-value workflow
  • Add approvals where judgement matters
  • Automate the boring 80% end-to-end
Proof, not theatre
You’ll see real runs, real logs, and real outcomes — not prompt screenshots.
delivery — /workflow/production-ready
• live
Delivery artifacts
What you’ll receive
Workflow map Done
Agent spec Done
Tool contracts In progress
Runbook & approvals Pending
Monitoring & alerts Queued
Audit every step: inputs, decisions, tool calls, outcomes.
What this includes
Built for production
Approvals Guardrails Retries Run logs Escalation paths Access controls Observability
Connected to your tools — constrained by your rules.

Start with a short strategy call

We’ll pressure-test the workflow, identify where autonomy actually helps, and be direct if it’s not a good fit.

Or email: warren@sentientsoftware.co.za

Book a strategy call

Sentient Software designs and deploys autonomous AI agents for real operational workflows — not experiments, not hype.