Automate real work across tools, systems, and humans — safely.
An agentic workflow is an AI-driven process that can understand requests, plan steps, call your tools (CRM, payments, scheduling, support), and complete tasks end-to-end — with guardrails, approvals, and audit trails.
What agentic workflows really are
Not a chatbot. Not fragile RPA. Agentic workflows combine planning + tool use + state to execute multi-step work — inside guardrails, with retries, timeouts, and human approvals where needed.
✅ For messy, real-world requests
Natural language in, structured actions out: classify, extract, validate, enrich, decide, act — then confirm.
✅ Built to integrate, not replace
We connect to your existing stack (CRM, payments, scheduling, ticketing, ERP) via API or Make/Zapier.
✅ Designed for trust
Audit trails, least-privilege access, and “human-in-the-loop” gates for money changes, sensitive outreach, and compliance.
How it works (the production pattern)
We ship with a deterministic backbone — and use the LLM only where it adds value. That’s how you get speed without chaos.
Ready. Click Run sample workflow to see how the agent thinks in steps (without freelancing).
This is the difference between “a chatbot” and a production agent: structured outputs, validators, tool scopes, and human gates.
Industry-ready use cases (SMBs → Enterprise)
Start small (one workflow, one channel), then expand to an “automation control tower” across teams. Pick a vertical below to see what we typically automate.
Call Centers: reduce tickets, faster resolution, better QA
Deploy an agent that resolves Tier-1 requests, updates CRM, and escalates cleanly when needed — on WhatsApp, voice, or web chat.
- Automate: triage → identity checks → lookup → action → confirmation
- Assist agents: live summaries, next-best action, scripted compliance language
- Ops: QA scoring, follow-up reminders, ticket enrichment
- KPIs: shorter handle time, fewer escalations, higher SLA & CSAT
Safety, compliance & risk controls (built-in)
We design for POPIA/GDPR realities: least-privilege access, allowlisted tools, redaction, retention controls, audit trails, and human approvals for high-stakes actions.
| Risk | Example failure | Impact | Detection | Mitigation | Residual risk |
|---|---|---|---|---|---|
| Prompt injection | Malicious text tries to trick the agent into leaking data or calling forbidden tools. | Data exposure, bad actions | Policy flags, tool-call anomaly detection, content filters | Tool allowlists, sandboxing, schema validation, strict “no secrets in prompts” | Medium (with monitoring) |
| Tool abuse | Agent attempts too many API calls or repeats an action. | Cost spikes, outages | Rate-limit alerts, circuit breakers, per-run call caps | Hard caps, backoff/retry, idempotency keys, dead-letter queues | Low–Med |
| Wrong data write | Bad extraction saves wrong phone/email into CRM forever. | Operational damage | Validators, human review sampling, anomaly checks | Normalize+validate, “confirm before write”, limited write scopes | Low |
| Payment mistakes | Charging twice, refunding wrong invoice, sending payment links to wrong person. | Financial + legal | Ledger reconciliation, approval gates, audit logs | Human approval for money changes, idempotent payment ops, scoped tokens | Low (with gates) |
| Privacy/retention | Storing unnecessary PII in logs or prompts. | Compliance risk | Log scans, redaction checks, retention audits | Minimize stored data, redact, encrypt, retention limits, consent language | Low |
Audit trails you can trust
Every run gets a run_id, step logs, tool inputs/outputs, timestamps, and decision reasons — so you can debug and prove compliance.
Human-in-the-loop by design
Humans approve the steps that should never be “fully autonomous”: money changes, legal/compliance outputs, sensitive outreach, destructive edits.
Your stack, your channels, your rules
We deploy WhatsApp-first or voice-first (or both), integrate with InOne CRM and any API-driven system, and run on AWS/GCP/Azure or on-prem when needed.
WhatsApp-first (UK)
Inbound + outbound flows, buttons, templates, payment links, booking confirmations, reminders — fully tracked in your CRM.
Voice-first (Call centers)
Answer calls, transcribe, look up accounts, execute actions, and route to humans with context. Great for after-hours.
Internal ops automation
Turn back-office work into workflows: documents, onboarding, QA checks, data cleanup, reporting, follow-ups — with auditability.
How we roll this out (without breaking your business)
We start as a co-pilot, prove reliability, then increase autonomy. The result: adoption, trust, and measurable KPIs.
1) Internal test
We run “fire drills”, measure failures, tighten validators, and finalize escalation rules before customers see it.
2) Pilot (limited scope)
One workflow, one channel, one team. Daily monitoring and weekly improvements — fast learning, low risk.
3) Production scale
Expand workflows like plugins: lead→book→pay, support→resolve, collections→recover, ops→report — all tracked end-to-end.
