AI workflow automation that saves real hours — not slide-deck hours
Agentic flows that wire your CRM, helpdesk, Slack, email, and internal tools into one autonomous chain. With retries, observability, and a kill switch on every action.
Why AI agents beat plain Zapier flows
Zapier and Make were built for “when X happens, do Y.” That works for two-step automations. It breaks the moment a workflow needs judgement: “if the customer’s sentiment is angry AND they’re a paying customer, escalate to a human — otherwise route to the bot.”
AI workflow automation adds a reasoning layer on top of those building blocks. A lightweight agent reads the context, picks the right branch, and only acts when it’s confident. Every action is logged, retryable, and reversible. You get the speed of automation without the brittleness.
What our automation builds ship with
The features that turn an automation from "neat demo" into something a team actually runs on.
Multi-step agentic logic
Agents that branch on context — sentiment, lead score, customer tier — and only take an action when confidence clears the bar you set.
200+ tool connectors
Native integrations to Salesforce, HubSpot, Zendesk, Intercom, Slack, Linear, Notion, plus generic REST/webhooks for everything else.
Retries + idempotency
Every action has a retry policy and an idempotency key. Network blip on step 4 won't double-create a Salesforce contact.
Full observability
Trace every run end-to-end. See which step failed, what input it had, what the agent reasoned. No black box.
Human-in-the-loop gates
Insert approval gates anywhere — for outbound emails, refunds, contract changes. The agent pauses; a human approves.
Cost guardrails
Per-run budget caps and model-routing rules so a runaway agent can't burn $400 in OpenAI credits overnight.
Where automation actually pays
Three flows we've built variants of repeatedly. Pick the closest analogue to yours.
Lead routing + enrichment
- Enriches from Clearbit / Apollo / LinkedIn
- Scores against your ICP, routes to the right AE
- Drafts personalised outreach for human review
Support triage + resolution
- Classifies tickets by intent and sentiment
- Auto-resolves the easy 30-50% (refunds, password resets)
- Tags + assigns the rest to the right human queue
Invoice + finance ops
- Reads invoices from email, extracts line items
- Matches to POs, flags mismatches for finance
- Pushes clean records into NetSuite / QuickBooks
From workflow audit to live agents
We start with what your team actually does today, not with a tool we want to sell.
Week 1 · Workflow audit
Shadow the team for two days. Map the 10 workflows that eat the most time. Pick the 2-3 that pay back fastest.
Week 2 · Design + dry-run
Build the flows in n8n / custom code. Dry-run against last quarter's real data. Tune confidence thresholds.
Week 3 · Guardrails + approvals
Add the human-in-the-loop gates, cost caps, and rollback procedures your security/finance team needs.
Week 4 · Launch + handover
Phased rollout. Observability dashboard live. We train your ops lead to monitor + tweak so you're not locked in.
What teams ask before trusting an agent
Honest answers — including the ones that disqualify us.
01 How is this different from Zapier or Make?
We build on top of them sometimes. The difference is the reasoning layer: deciding which branch to take, when to escalate, what to write. Zapier moves data; AI workflow automation makes judgement calls and explains them.
02 What if the agent does something wrong?
Every action is logged with the agent’s reasoning. Sensitive actions (outbound email, refunds, CRM writes) sit behind human-approval gates by default. You can roll back a run from the dashboard.
03 Will my team need to learn a new tool?
Probably not. We build inside tools your team already lives in — Slack, the CRM, the helpdesk. The agent surfaces where work happens; it doesn’t move work somewhere new.
04 How quickly do we see ROI?
For lead routing and ticket triage, typically within 30-60 days post-launch — measured in hours saved per week per role. For more complex flows (finance ops, multi-system orchestration), 90 days is realistic.
05 Can we build this ourselves?
For 2-step Zapier flows, yes. For agentic workflows with reasoning, retries, and approvals, you’ll spend 6 months and ship something fragile. We’ve shipped this pattern enough times to skip the painful parts.
What teams say after going live with workflow automation
Show us your manual ops — we’ll spot the agent-shaped ones
Two-minute form. We reply within 4 working hours.