Take repeat work out of your team's day.
We build automations that move work between your tools, with alerts and recovery when a step fails.
Website enquiry
CRM record created
Owner notified
Delivery failed? Keep the request and queue the next attempt.
What we build into the workflow
We trace how work moves between your tools, then automate the handoffs your team repeats. We use a workflow platform such as n8n or write code when the job needs it. We add AI for inputs that need interpretation and build in alerts, safe retries and a way to recover failed work.
For teams copying data between tools, handling repeat requests or outgrowing an automation that worked at lower volume.
- Connect your systems
- Route incoming requests
- Handle failed runs
Connected systems
We map where each request starts and ends, then connect the APIs and events your team already uses.
Useful AI steps
We add classification, extraction or drafting when inputs need interpretation, and check the result before the next action.
Safe retries and sensible limits
We design the automation to handle duplicate events, failed requests and busy periods without repeating important actions.
A workflow your team can run
We provide logs, alerts and recovery steps, then agree who handles failures and how to see the running cost.
Example workflow
One enquiry, through to follow-up
For a team moving incoming enquiries from a shared inbox into a CRM.
Receive an enquiry
A form or inbox event starts the workflow with the original message attached.
Validate and route
Rules check required fields, match existing records and assign the right owner.
Create the follow-up
The CRM receives the update and the owner gets a task with useful context.
What we verify: Repeated events do not create duplicate tasks, and failed updates are visible for recovery.
Use the right tool for the job
Use the right tool for the job
The choice depends on the work, its volume and who will maintain it.
Common SaaS tools and straightforward rules
- A useful starting point
- A workflow platform
- What to consider
- Connector coverage and how the team makes changes
Large payloads or complex processing
- A useful starting point
- A code service
- What to consider
- Memory, execution time and operational control
Messages or documents need interpretation
- A useful starting point
- An AI step within the workflow
- What to consider
- Validation and a route for uncertain results
The process changes on every request
- A useful starting point
- An agent or a human decision
- What to consider
- Whether fixed rules can represent the task
| Your situation | A useful starting point | What to consider |
|---|---|---|
| Common SaaS tools and straightforward rules | A workflow platform | Connector coverage and how the team makes changes |
| Large payloads or complex processing | A code service | Memory, execution time and operational control |
| Messages or documents need interpretation | An AI step within the workflow | Validation and a route for uncertain results |
| The process changes on every request | An agent or a human decision | Whether fixed rules can represent the task |
How we work together
Map the current handoffs
We follow real requests through your current process to find the steps people repeat or repair by hand.
Build the connections
We connect the systems and build the rules, with AI steps only where the input calls for them.
Test at realistic volume
We test duplicate requests, timeouts, bad inputs and the largest workloads you expect to handle.
Launch with a recovery plan
We add monitoring, document who owns failures and make failed work easy to inspect and rerun safely.
Common questions
Can you repair an existing n8n workflow?
Can you repair an existing n8n workflow?
Yes. We review execution history, data sizes, concurrency and failure handling before deciding whether to tune the workflow or move part of it into code.
Do we have to use n8n?
Do we have to use n8n?
No. We can work with the platform you already use when it fits the job. Tool choice follows the integrations, volume and maintenance needs.
What happens if an automated step fails?
What happens if an automated step fails?
The workflow records the failure, retries where safe and alerts the right person when it needs intervention. Consequential writes are designed to avoid duplicate actions.
Can our team maintain the automation afterwards?
Can our team maintain the automation afterwards?
We document the workflow, configuration and recovery steps. We can hand it over or stay involved in changes and operations, depending on the scope.
Which handoff is slowing you down?
Show us how the work moves today. We'll identify a practical first automation.
or reach us at hello@phaseahead.ai