AI Automation

AI that earns its keep, not just headlines.

We design and deploy production AI workflows that move revenue and reduce cost — with measurable KPIs and full integration into the tools you already use.

1

Trigger

Form, email, CRM event or webhook

2

Enrich

Lookup data, score, classify intent

3

Decide

Routing, qualification, fallback rules

4

Act

Reply, book, update CRM, alert team

Where AI moves the needle

Lead qualification

Agents that score, enrich and route leads to the right rep in seconds.

Sales follow-up

Personalized email and SMS sequences generated from CRM context.

Document Q&A

Internal copilots over your knowledge base, contracts and product docs.

Content ops

Brief → draft → review pipelines for ads, landing pages and articles.

Back-office automation

Invoice parsing, ticket triage, data entry — wherever rules + LLMs beat humans.

CRM & tool integration

Native connectors to HubSpot, Pipedrive, Slack, Notion, Gmail and your warehouse.

Plays nicely with your stack

HubSpotPipedriveSalesforceSlackNotionGmailZendeskStripePostgresBigQuery

From audit to production in 4 phases

01

Use-case audit

We map the highest-leverage workflows: where humans repeat themselves, decisions are slow, conversion leaks.

02

Prototype in 2 weeks

A working prototype against real data so you can feel the lift before committing to a full build.

03

Production build

Hardened workflows with logging, evals, fallbacks, human-in-the-loop and full observability.

04

Iterate on metrics

We track quality and ROI weekly. Models, prompts and routing are tuned against the numbers.

Outcomes you can expect

  • Lead response under 60 seconds
  • 30–60% reduction in manual ops time
  • Higher MQL→SQL conversion via better qualification
  • Consistent brand voice across channels
  • Audit trail and human oversight where it matters

What you receive

  • Documented workflows with diagrams
  • Prompts, evals and model configuration
  • Integrations into your existing tools
  • Dashboards for quality and ROI tracking
  • Runbook and 30-day operational support

Common questions

Which models do you use?

We pick per use case — GPT-4 class for reasoning, smaller/faster models for routing and classification, with Lovable AI Gateway as the default integration layer.

What about data privacy?

We default to providers with no-training data agreements, deploy in your cloud where required, and isolate sensitive data with RLS and field-level encryption.

Will it replace my team?

It removes the boring 60% so your team can focus on the high-value 40%. Most clients reinvest the saved time into pipeline and product, not headcount cuts.

How do you measure quality?

Every workflow has eval suites and a feedback loop. We report quality and ROI weekly with the same rigor as paid media.

Have a workflow that's begging for AI?

Tell us where humans repeat themselves. We'll come back with a 2-week prototype plan and a measurable target.