Skilled people doing repetitive work
Qualifying leads, updating CRMs, answering the same questions and moving data between tools eats your best people's time.
AI Workflow Automation
AI workflow automation for operations teams
We automate repetitive operations by connecting language models to your CRM, inbox, billing, documents and messaging. From n8n and Make workflows to custom Python services, every automation is monitored, retried on failure and easy for your team to change.
What you can expect
- Leads and tickets handled in minutes, not days
- Fewer manual hand-offs and copy-paste errors
- Workflows your team can see, edit and trust
(01) The problem
Why teams come to us for AI Workflow Automation.
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Brittle automations
Zaps and scripts that fail silently, with no retries, no logs and no owner.
AI that isn't connected to anything
A chatbot in a browser tab doesn't update your systems or follow your process.
Integration debt
Legacy APIs, webhooks and spreadsheets that nobody wants to touch.
(02) Use cases
What we build with AI Workflow Automation.
- 01
Lead qualification and CRM enrichment
Score, enrich and route inbound leads into HubSpot, Salesforce or GoHighLevel automatically.
- 02
Inbox and ticket triage
Classify, summarize and draft replies to email and support tickets for a person to approve.
- 03
Billing and subscription flows
Stripe subscriptions, trials and webhooks wired into your product and finance tools.
- 04
Document workflows
Extract data from incoming documents and push it to the right system with an audit trail.
- 05
Reporting and alerts
Daily AI-written summaries of sales, operations or risk signals, delivered to Slack or Teams.
- 06
WhatsApp and messaging automation
Conversational flows on WhatsApp Business and SMS through Twilio.
Deliverables
Everything you need to run it in production.
- Process mapping and an automation roadmap
- n8n, Make or Zapier workflows, or custom Python services
- LLM steps for classification, extraction and drafting
- CRM, email, billing and messaging integrations
- Error handling, retries and alerting
- Logs, dashboards and documentation
- Team training on maintaining the workflows
Our approach
How we deliver reliable results.
- 1
Find the high-volume work
We rank processes by hours saved and risk, and start where the return is clearest.
- 2
Pick the right tool
Low-code platforms for speed and visibility; custom code when scale or logic demands it.
- 3
Design for failure
Retries, dead-letter handling and alerts, so nothing fails silently.
- 4
Keep people in control
Approval steps wherever a mistake would be costly.
Proof
Related case studies, with real numbers.
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- automated test categories
- 12
- automated test categories
Customer support
Voice AI Support Agent
A voice agent that answers support calls, looks up orders and hands off to people
- inbound voice channel
- Calls
- inbound voice channel
- self-service coverage
- FAQ + orders
- self-service coverage
- agent hand-off
- Live
- agent hand-off
Productivity SaaS
Content Copilot
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- specialized agents
- 3
- specialized agents
- topic scoring
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- topic scoring
- human-approved publishing
- 100%
- human-approved publishing
Technology
Tools we use for AI Workflow Automation.
Model-agnostic and cloud-agnostic: we pick the right components for your data, budget and compliance requirements.
- n8n
- Make.com
- Zapier
- GoHighLevel
- HubSpot
- Salesforce
- Stripe
- Twilio
- WhatsApp Business API
- OpenAI
- Claude
- Python
- Node.js
Industries we serve
Engagement models
Flexible ways to work, one standard of delivery.
Start small with a discovery sprint or an audit, or go straight to a production build. Most projects start from $5,000, scoped after a free strategy call.
1–2 weeks · fixed scope
AI Strategy & Discovery Sprint
Teams validating an AI opportunity before committing a budget.
- Use-case and ROI workshop
- Data and systems audit
- Architecture blueprint
- Risk and compliance review
- Build plan with estimates
4–12 weeks · milestone-based
Production Build
A defined RAG platform, AI agent, automation or AI product, delivered end to end.
- Architecture and full build
- Evaluation suite and QA
- Security and compliance controls
- Deployment and monitoring
- Documentation and handover
Monthly retainer
Dedicated AI Engineering
Product and platform teams with an ongoing AI roadmap and no time to hire.
- Senior AI engineering capacity
- Weekly planning and demos
- Continuous evaluation and monitoring
- Model and cost optimization
- Scale up with vetted specialists
1–3 weeks · fixed scope
AI Audit & Evaluation
An existing LLM, RAG or agent system that underperforms or is changing hands.
- Architecture and code review
- Answer-quality evaluation
- Security, PII and compliance review
- Cost and latency analysis
- Prioritized remediation report
Not sure which model fits? A free 30-minute call is enough to decide.
Book a free strategy callAI Workflow Automation FAQ
Common questions about AI Workflow Automation.
Can't find your answer? Ask us on a free strategy call or send a short brief.
What is AI workflow automation?
It is process automation with a language model inside: steps that read, classify, extract or draft text are handled by AI, while the workflow engine moves data between your systems.
n8n, Make or Zapier: which should we use?
Zapier for simple, quick wins; Make for visual multi-step logic; n8n when you want self-hosting, code steps and lower cost at volume. We also build custom services when a platform would hold you back.
Can you integrate with our CRM and internal tools?
Yes: HubSpot, Salesforce, GoHighLevel, Slack, Microsoft Teams, Google Workspace, Stripe, Twilio and any system with an API or webhooks.
What happens when an automation fails?
It retries, logs the failure and alerts the owner. Every workflow is designed with explicit error paths.
How quickly can we see results?
A first automation often goes live in one to three weeks; broader programs roll out in phases.
Will our team be able to maintain it?
Yes. Every engagement ends with documentation and a walkthrough so your team can own and extend the workflows.
Taking on new projects
Let’sbuild.
Have an AI project in mind? Let’s make it real.
Book a free 30-minute strategy call with our founder. You’ll leave with a clear view of the right architecture, timeline and next step, whether or not we work together.
- Reply within 24 hours
- NDA before you share anything confidential
- You own the code, prompts and documentation
- Hours overlap with US, UK, EU and Gulf teams