If it has an API, we can make it run the way your business actually works.

CRM workflows, lifecycle automation, calendar scheduling, AI agent integrations, and HTTP step requests. Built by a dev team that reads your setup before touching it.

The CRMs and tools we engineer on.

Grouped by use case. If yours isn't listed and it has a documented API, we can still work with it.

🧰

General-purpose CRMs

The big platforms most businesses run on. Strong APIs, deep documentation, well-tested webhooks.

  • Odoo
  • HubSpot
  • Salesforce
  • Pipedrive
  • Zoho
🧘

Vertical CRMs

Industry platforms for clinics, wellness, fitness, and beauty. We've worked through the booking quirks, the membership models, and the calendar weirdness.

  • Plato Medical (clinic management)
  • Cliniko (healthcare)
  • Mindbody (fitness & wellness)
  • GoHighLevel
  • Booker
  • Vagaro
  • Acuity
🔌

Messaging & ops tools

Everything that surrounds the CRM. Conversations, payments, scheduling, commerce. The places workflows actually start and end.

  • respond.io
  • WhatsApp Business API
  • Twilio
  • Cal.com
  • Stripe
  • Shopify

And anything else with a documented API. We've integrated tools we hadn't heard of two weeks earlier. The pattern transfers; the auth and the rate limits are what change.

The workflow problems we solve, again and again.

Most CRM problems aren't novel. They're variations of six patterns that show up in every industry.

🔄

Lifecycle automation

Lead, qualified, booked, showed, paid, retained. Every stage transition fires the right next step, automatically.

  • Stage triggers and exit rules
  • Re-engagement on dormancy
  • Idempotent transitions (no double-fires)
  • Audit trail on every change
📅

Calendar scheduling

Two-way sync between your CRM, Google or Outlook calendars, and Cal.com or Calendly. Slot logic, no-show handling, reschedule loops.

  • Google, Outlook, and Cal.com sync
  • Buffer, capacity, and territory rules
  • Automated reminders and confirmations
  • No-show recovery sequences
🧭

Lead routing & assignment

Round-robin, territory, capacity, language. Whatever your routing rules are, we encode them so leads land on the right person every time.

  • Round-robin with backstop rules
  • Capacity-aware assignment
  • Language and territory matching
  • SLA timers and escalation
🤖

AI agent tool calls

Agents that read CRM records via API, write back updates, fire HTTP requests, and escalate to humans when confidence drops.

  • Read access to deal and contact records
  • Structured tool definitions
  • Confidence-based handoff
  • Logged input and output for every call
🔗

CRM-to-CRM and tool sync

Odoo to HubSpot, Mindbody to WhatsApp, Stripe to your deal stage. Bidirectional sync with conflict resolution and clear source-of-truth rules.

  • Bidirectional contact and deal sync
  • Source-of-truth rules per field
  • Conflict resolution strategies
  • Backfill and reconciliation jobs
🛠️

HTTP step integrations

Custom webhooks, signed requests, retry-with-backoff, idempotency keys. The plumbing that keeps integrations stable when something upstream breaks.

  • Signed webhooks (HMAC, OAuth)
  • Retry-with-backoff and dead-letter queues
  • Idempotency keys on every write
  • Structured logging and alerts
Discuss your workflow

Where AI agents fit, and where they don't.

An AI agent is a tool, not a product. We wire it into the workflow at the points where it earns its keep.

Agents read records via API. Agents write updates back. Agents trigger HTTP steps. Agents escalate to a human when their confidence drops below a threshold you set. That's the contract. Anything else is theatre.

Example 1

Wellness studio booking

An incoming WhatsApp asks: "any 7pm yoga slots tomorrow?"

Agent reads class availability via the Mindbody API, books the slot, writes the lead source back to the booking record, and fires a WhatsApp confirmation. If the class is full, agent suggests three alternatives and books once the customer picks one.

Example 2

B2B SaaS lead qualification

A new HubSpot contact arrives from a Click-to-WhatsApp ad.

Agent qualifies the lead through five WhatsApp messages, posts a Slack ping for the assigned account executive, schedules a call through Cal.com, and writes the meeting back to the deal record. Confidence drops on a non-standard pricing question; agent hands off to a human and stops.

Our rule: if a deterministic workflow can do the job, we use a deterministic workflow. Agents cost more, fail more loudly, and need stricter guardrails. The decision rule is simple: only when the path through the workflow can't be enumerated up front.

How we engineer your workflow.

Five steps. We never skip the first one.

1

Read your setup

Sandbox or read-only access to your CRM. We map what's actually configured, not what people remember was configured. You see the gaps report before we propose anything.

2

Spec the workflow

Written brief: triggers, steps, data shape, failure modes. You sign off before we write code. If we disagree on a step, we resolve it on paper, not in production.

3

Build in staging

Implemented in a sandbox tenant or test environment. HTTP step requests, auth, retries, logging. Nothing reaches production until you've seen it run.

4

Test real edge cases

Run against real-but-isolated data. Late timezones, half-filled forms, expired tokens, partial failures. The cases that break things on launch day.

5

Deploy and monitor

Production cutover with monitoring on every HTTP step. Alerts when something breaks. We stay on the workflow for two weeks post-launch, then hand off the runbook.

Request a workflow audit

Send us your CRM setup.
We'll tell you what's possible.

15-minute call. We'll ask for read-only access and come back with a workflow plan within 3 working days.

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