B2B SaaS
Sales ops — lead qualification agent
Built an LLM-powered classifier that scores and routes inbound leads using firmographic and behavioral data, freeing the SDR team from manual triage.
- Lead scoring
- CRM integration
- Eval set
Systems & Automation
Practical AI features, agent workflows, and process automation built around real operations — not demos. We start from where time is actually being lost, then automate the steps that matter.
What this solves
Most AI projects fail because they automate the wrong step or the wrong process. We start from the workflow, then decide what AI belongs there at all.
Hours lost to copy-paste between tools, hand-built reports, and email triage.
Approvals, intake, and routing held together by email and good intentions.
Impressive demos that ship nothing, change nothing, and quietly get retired.
AI can't help if the inputs aren't reachable, clean, or trustworthy.
Zapier flows nobody maintains and integrations that break every time a vendor releases an update.
What we cover
From small workflow automations to full LLM-powered features inside your product or internal tools.
01
Where time is actually being lost, what's worth automating, and what shouldn't be touched.
02
n8n, Make, custom code, and pipeline automation across CRM, comms, billing, and data.
03
Automated qualification, routing, enrichment, and assignment — wired into your CRM and comms stack.
04
RAG over your data, summarization, classification, and structured extraction embedded in product or internal tools.
05
Multi-step agents with tools, guardrails, evaluation, and clear escalation paths to humans.
06
Recurring reports built once, run forever — pulled from real sources instead of weekly screenshot rituals.
07
Clean integrations across CRM, support, billing, data warehouse, and comms — replacing fragile glue with maintained code.
08
Eval sets, regression checks, and runtime monitoring so AI features stay accurate as data and prompts evolve.
09
Documentation, recorded walkthroughs, and a support window so your team owns what we built.
What we deliver
AI and automation grounded in measurable time and cost savings — not vague productivity claims.
How we work
Map the actual processes, where time is lost, and what's worth automating before any tool decisions.
Rank candidates by time saved, error reduction, and revenue impact — not novelty.
Build the smallest version that proves the workflow end-to-end with real data.
Production implementation with proper error handling, logging, and integration hygiene.
Eval sets for AI components, regression checks, and runtime monitoring.
Documentation, training, and a defined window for tuning as usage patterns settle.
Project examples
Anonymous examples of the types of projects this work supports.
B2B SaaS
Built an LLM-powered classifier that scores and routes inbound leads using firmographic and behavioral data, freeing the SDR team from manual triage.
Operations
Replaced a weekly screenshot-and-paste reporting ritual with automated pulls from billing, CRM, and product analytics into a single dashboard.
Customer support
Embedded an LLM into the helpdesk that drafts replies from prior tickets and product docs. Agents stay in the loop; response time dropped significantly.
Connected services
Services that naturally strengthen this work.
Industries
Where this work tends to make the biggest impact.
FAQ
Short, honest answers. If you have something more specific, just ask.
Contact
Tell us where your team is losing time today. We'll suggest the automation or AI feature with the most realistic payoff.