Two systems won’t talk to each other.
What we doREST APIs, webhooks, Zapier or n8n: whatever is sturdiest for your stack. We map the fields, decide which system owns the truth, handle retries and duplicates, and leave a log you can debug from.
Workflow Automation (Zapier, n8n, webhooks)
Busywork that stops happening by hand.
Zapier, n8n, GoHighLevel workflows and webhooks, wired so leads, jobs and follow-ups move between your tools on their own, with one source of truth per field, retries that don't create duplicates, and a log you can debug from.
The problem
Your team is the integration.
A lead fills in a form. Someone copies it into the CRM. Someone else creates the job in the job-management tool, then texts the customer, then updates a spreadsheet so the owner can see it. Every hand-off is a chance to mistype a phone number, forget a follow-up or create a second copy of the same customer.
Then someone connects the tools with a few Zaps, and for a while it is great. Until a field is renamed, a trigger fires twice, and three weeks later the CRM holds two versions of every contact, neither of them right. Nobody knows which automation did it, because none of them logs anything.
Automation isn't hard to start. It is hard to keep honest.
What we build
Flows that move work, not just data.
- Lead intake and routing. Every source (site forms, ad leads, API feeds) lands as one deduplicated contact, tagged and routed to the right person or pipeline.
- CRM to job-tool sync. Contacts and jobs kept in step between your CRM and the specialist tools your crews use, with one system owning each field.
- Follow-up and reminders. GoHighLevel workflows and similar sequences that remind, nudge and escalate on time, without a person remembering.
- Webhook receivers. Small, reliable endpoints for tools that push events, built to accept the same event twice without acting twice.
- Approval steps. Flows that pause for a person before anything consequential happens: a quote sent, a record deleted, money moved.
- Clean-ups. Inventories of existing automations, dead flows removed, duplicates merged, everything named and documented.
How we work
Scope, build, hand over.
1. Map before we build. We list every tool, every field that crosses between them, and which system owns it. Where two tools both think they own the phone number, you decide which wins, and it goes in writing.
2. Build with failure in mind. Match on stable IDs, not names. Make every write safe to repeat. Retry what can be retried; alert a person on what can't.
3. Test with real scenarios. A test contact goes through every path a real customer would take: form, ad lead, booking, reschedule, cancellation. We check each tool at every step.
4. Read the logs, not just the flow. When something misbehaves, we start with run histories and audit logs to find out what else is writing to the same fields.
5. Hand over. A map of the flows, a note per flow, and a walkthrough for the person who will own them.
Proof
Automation we run in production.
Our founder runs GoHighLevel and automation operations for a US-based organisation, and much of that work is exactly this: Zapier integrations between GoHighLevel and roofing-industry tools such as JobNimbus and HailTrace, lead-routing and follow-up workflows, and audit-log-first debugging when a flow misbehaves.
- CRM automation for roofing and storm-restoration contractors (anonymised in-house system, not a Teqprotech client engagement). GoHighLevel as the system of record, Zapier syncs with JobNimbus and HailTrace, and Conversation AI bots that book appointments and notify the owner.
- QuotePilot AI (team hackathon build). A six-stage intake-to-send workflow that pauses for missing information and always stops at a human approval checkpoint before the simulated email and CRM steps.
- KhidmatConnect AI (our build; its hackathon entry is unconfirmed). Voice-call webhooks handled idempotently, so a repeated event updates the same case instead of creating a new one.
Field note
The reminder that kept moving.
A pattern from production, and the reason we read audit logs before we read a flow. Appointment reminders were reaching some contacts at the wrong local time. The reminder workflow looked fine. The contact's history in the audit log showed its timezone field changing again and again. The cause was a form with a timezone option switched on, quietly overwriting the field on every submission. The fix took minutes once the cause was clear: correct the form, repair the affected contacts, re-run the path with a test contact. The lesson generalises. When an automation misbehaves, first find out what else is writing to the fields it reads.
Stack
What we reach for.
Zapier, n8n, GoHighLevel workflows, plain webhooks and REST APIs, plus small serverless or Laravel endpoints when a connector doesn't exist. For logging: the platform's own run history and audit logs, and our own log table when we write the code.
Not a fit
When automation is the wrong answer.
- The process changes every week. Automate it once it settles, or you will pay to rebuild it every month.
- There is no agreement on which system is the source of truth. We can facilitate that conversation, but we can't automate around it.
- You want to automate sending messages people haven't agreed to receive. We won't build that.
Problems we fix
If one of these sounds familiar, we should talk.
Our automations break and nobody notices.
What we doEvery flow gets error handling and an alert that reaches a person. A failed step should be an email to you, not a customer who never got a reply.
We have forty Zaps and nobody knows what they do.
What we doWe inventory them, name them properly, remove the dead ones, merge the duplicates and write down what each surviving flow is for.
What you get
A system, not a pile of parts.
Pick the pieces you need. Most projects start small and grow from there.
Source-of-truth mapping
A one-page map of your tools, which system owns each field, and which direction every sync runs. Most sync bugs die at this stage.
Retries, dedupe and logging
Flows that can run twice without creating two contacts, match on stable IDs rather than names, and write a log you can search when something looks off.
Docs your team can follow
A plain-language note for each flow: what triggers it, what it changes, and what to check when it misbehaves.
Proof
Related work and reading.
Client work is shown anonymised. Hackathon builds link to their public case studies.
QuotePilot AI (case study on talalkhawaja.com)
An autopilot quoting agent for service businesses: Qwen reads the request, deterministic tools own price and availability, and a human approves before anything is sent.
CRM automation for roofing and storm-restoration contractors
Connecting a GoHighLevel CRM to roofing-industry tools so leads, jobs and follow-ups stay in one place, with Conversation AI booking appointments.
Stack
What we work with.
- Zapier
- n8n
- Webhooks
FAQ
Straight answers.
Zapier when both tools have solid connectors and volumes are modest. n8n when you want to self-host or need more control over the logic. Custom webhooks or API code when the connectors are missing, too slow or too expensive at your volume. We will recommend one and explain why.
Yes. Inherited automations are most of the work. We read the run history and the CRM's audit trail first, which usually explains the problem faster than reading every step.
The flow should wait and retry, not drop the record or create a duplicate when it comes back. We design for that, and we make sure a person hears about failures that don't recover.
Yes. Our founder has wired GoHighLevel to roofing-industry tools like JobNimbus and HailTrace through Zapier, and we connect plenty of other tools through their APIs.
We don't publish fixed prices. We map your tools and flows first, then quote the build or the clean-up. Email info@teqprotech.com with the tools involved.
Start here
Workflow Automation, unblocked.
Tell us what it’s doing that it shouldn’t (or not doing that it should). The brief form opens with Workflow Automation (Zapier, n8n, webhooks) pre-selected.