The patterns we install most often, grouped by the team that benefits. Each one ships inside your real tools — with an explicit human review checkpoint — and is owned by your team on day one.
Common searches that land here: AI agent deployment, agentic employee for sales, Slack/CRM automation, AI operations system, and AI customer success agent.
Every system we install follows the same four layers. It's how we keep agents shippable, debuggable, and safe to hand off.
Where the work actually starts. The agent listens to real signals in your stack, not a synthetic queue.
Classify, extract, draft, route, and check. Small, composable steps — never one giant prompt.
An explicit checkpoint — sized to the risk. Some flows auto-send; the rest land in a queue with context and an approve button.
A concrete artifact your team actually uses — not a chat window. The output is the point.
Reference builds we use to scope and demo work. Honest labels — these are example installs and internal reference systems, not client case studies. Real client names and metrics stay private until a customer chooses to share them.
An always-on agent that answers from your docs and updates your CRM.
Reps lose 30+ minutes per day digging through Notion, Drive, and Salesforce for answers, account history, and template snippets.
A Slack-native agent that retrieves answers from your knowledge base, summarizes account context on demand, and writes CRM updates back to Salesforce or HubSpot without leaving the channel.
Reads the call, drafts the email, schedules the next step.
Pipeline rots between calls. Follow-ups slip, next steps don't get logged, and the same deal gets re-discovered three weeks later.
An agent that listens to your call recording (Gong/Fathom), drafts a contextual follow-up email, proposes meeting times, and logs the next step on the opportunity automatically.
Written summaries delivered to the channel that owns the number.
Dashboards exist; nobody reads them. The number only matters when somebody writes a sentence about it.
A scheduled agent that pulls metrics across your stack each morning, calls out the deltas worth noticing, and posts a written summary to the team that owns each KPI.
Watches owners and deadlines. Nudges the stalled work.
Tickets sit. Owners get distracted. Managers spend half their week chasing status updates that an agent could surface.
An agent that monitors Linear/Jira and Asana, identifies stalled tasks based on your team's actual cadence, nudges the owner privately, and escalates only when a human is genuinely needed.
Draft 80% of the response from your past wins in minutes.
RFPs eat senior time. Past answers live in a hundred docs and the right person is always on PTO.
An agent that ingests your past proposals and security questionnaires, drafts the new response section-by-section against your tone and approved language, and flags the questions only a human should answer.
Every new customer gets a senior implementation lead — at agent cost.
Onboarding is the highest-leverage moment of the customer relationship and the most under-staffed.
An agent that walks each customer through implementation, answers product questions in their channel, drafts setup configs, and pings your team only at the genuine handoff moments.
These are the patterns we ship most often — not the full list. Bring us the workflow that's eating your team's time and we'll tell you the shortest path to an agent that handles it.
Tell us the workflow, tools, and outcome. We'll recommend the shortest path: hourly consulting, installation, or a workshop.
