AI automation consulting and bespoke AI solutions
OneGTM does AI automation consulting the hands-on way: we design and build bespoke AI solutions, agents and AI workflow automation connected to your CRM, data, and tools, and hand them to your team to run. It is the build side of AI transformation.
Key takeaways
- Bespoke beats off-the-shelf when a workflow depends on your data, your rules, and several tools at once.
- Most AI automation is plumbing: getting the right data to the model and the output to the right place.
- n8n, Clay, and AI coding agents like Claude Code make custom builds fast enough for mid-size budgets.
- Every system ships with an owner, documentation, and a way to check output quality.
What we build
AI agents
Agents that research, classify, draft, and update records, with clear limits and human review where it matters.
Workflow automation
n8n and native automations that move data between CRM, email, Slack, docs, and databases.
AI integrations
Claude and OpenAI models connected to your CRM, knowledge base, tickets, and product data.
Custom internal tools
Lightweight apps and dashboards built with AI coding agents when no product fits.
Data pipelines
Enrichment, transformation, and sync jobs that keep AI systems fed with current data.
Document and inbox processing
Reading, extracting, and routing information from emails, forms, PDFs, and call transcripts.
Bespoke AI solutions vs. off-the-shelf AI tools
| Off-the-shelf AI tool | Bespoke AI solution | |
|---|---|---|
| Fit | Generic workflow | Your workflow, rules, and data |
| Speed to start | Days | Weeks |
| Integration | Limited to built-in connectors | Whatever your stack needs |
| Ownership | Vendor holds the logic | You own the code, prompts, and accounts |
| Best for | Common, standardized tasks | Workflows that are core to how you operate |
Often the answer is both: an off-the-shelf tool for the standard parts, and a custom layer for the rest.
Where we start
OneGTM started in go-to-market, so revenue workflows are where we move fastest: research, enrichment, routing, outreach drafting, and CRM automation. See AI for GTM.
The same building blocks apply to operations, recruiting, customer success, and finance workflows: intake, triage, extraction, drafting, and updating a system of record. If a workflow is repetitive, text-heavy, and spread across tools, it is a good candidate.
How an AI automation project runs
- Scope one workflow with an owner and a before-and-after metric.
- Map the data the automation needs and where its output should land.
- Build a working version in one to three weeks, with human review turned on.
- Evaluate output on real cases, fix edge cases, and document it.
- Hand over to the owner, with training. See AI enablement.
Comparing AI automation agencies
AI automation agencies range from solo n8n builders to engineering firms with forward deployed teams. The AI transformation partners map compares the main types and names, and covers how to choose between them.
AI automation consulting FAQ
What does an AI automation consultant do?
What are bespoke AI solutions?
Is OneGTM an AI automation agency?
What tools do you use for AI workflow automation?
How long does an AI automation project take?
Have a workflow that eats hours every week? That is where we start.