[04.1]
Process discovery
Time-and-motion audit to find the automations with the highest ROI first.
Service [04]
Automation
We map your manual processes, then automate them with AI-powered workflows that run reliably in the background.
Problem and approach
The problem
Teams lose hours every week copy-pasting between tools, chasing approvals and cleaning data.
Teams lose hours every week copy-pasting between tools, chasing approvals and cleaning data. Brittle no-code zaps break silently and nobody owns them.
Our approach
Production-ready from day one.
We design robust automations with error handling, retries, alerts and documentation — mixing no-code platforms and custom code where each fits best.
Capabilities
What we deliver.
Modular capabilities we combine into one coherent system for your use case.
[04.2]
Workflow orchestration
Multi-step flows across CRM, ERP, email, Slack, sheets and databases.
[04.3]
AI data processing
Classify emails, parse PDFs, enrich records and route work automatically.
[04.4]
Reporting automation
Scheduled reports and alerts generated and narrated by AI.
[04.5]
RPA & legacy systems
Automate desktop and browser apps that have no API.
[04.6]
Monitoring & ownership
Logging, alerting, runbooks and handover so automations never fail silently.
Use cases
Where it pays off.
Examples of what this service can do for your business.
Example use case
Finance ops automation
Invoice intake, 3-way matching and ERP posting automated for a multi-entity business.
Discuss a similar buildExample use case
Onboarding workflow
Customer onboarding across CRM, e-sign, billing and provisioning in one flow.
Discuss a similar buildExample use case
Recruiting pipeline
AI screens applications, schedules interviews and syncs notes to the ATS.
Discuss a similar buildArchitecture
How it fits together.
A typical reference design — adapted to your cloud, data and security model.
How we build
From idea to production in 5 moves.
A fixed-scope, evidence-first process. You see working software every week — and real numbers before you commit to the full build.
1–2 weeks
Discover
We audit workflows, data and systems, then rank AI opportunities by ROI and feasibility.
2 weeks
Prototype
A working prototype on your real data, with evals that prove quality before we commit to a build.
6–12 weeks
Build
Weekly sprints shipping production code to your repos, with demos every Friday.
1–2 weeks
Deploy
Staged rollout with monitoring, guardrails, cost controls and team training.
Ongoing
Optimize
We measure outcomes, tune prompts and models, cut cost and expand to the next use case.
FAQ
Common questions.
No-code or custom code?
Both. We use n8n, Make or Zapier for speed and visibility, and Python or TypeScript services where volume, logic or reliability demand it.
What should we automate first?
We run a short discovery to rank processes by hours saved, error cost and implementation effort, and start with the quickest ROI.
What happens when an automation fails?
Every workflow has retries, dead-letter handling and alerts to Slack or email, plus a runbook your team can follow.
Can you maintain automations after launch?
Yes — we offer monthly care plans covering monitoring, fixes and continuous improvements.
Explore
Other services.
AI Web Application Development
Production-grade web apps with LLM features built in — copilots, semantic search, generative workflows — shipped on a modern, scalable stack.
AI Custom Application Development
Bespoke AI applications for web, mobile and desktop — built around your data, your workflows and your compliance requirements.
AI Agent Development
Autonomous and human-in-the-loop agents that plan, use tools and complete multi-step work across your systems — safely and observably.
[ Next step ]
Ready to scope your automation project?
Book a 30-minute strategy call. We'll map your highest-ROI AI opportunities and tell you honestly what's worth building.