Agents that do real work
AI Agent Implementation for Startups
AI agents are task-specific systems that do real, repeatable work — drafting follow-ups, triaging support, preparing reports, screening candidates. We design, build, train, and deploy them against your data and tools, with guardrails and human review where the stakes are high.
Founder assistant
Inbox triage, scheduling prep, daily priorities, and drafting.
Sales development agent
Lead enrichment, personalized outreach drafts, and CRM hygiene.
Customer support agent
Triage, suggested replies, and deflection with your docs.
Content marketing agent
Briefs, drafts, and repurposing in your brand voice.
Finance reporting agent
Pulls numbers and drafts the monthly report and variance notes.
Recruiting agent
Screens applications, drafts outreach, and schedules.
The problem
Generic chatbots don't run a company.
Off-the-shelf assistants are impressive in a demo and useless in a workflow. They don't know your context, can't take actions in your tools, and have no guardrails. Real leverage comes from agents scoped to specific jobs and wired into how your business actually runs.
- Generic AI doesn't know your customers, docs, or process
- Demos impress but nothing ends up in the daily workflow
- No guardrails means no trust, so adoption stalls
- Founders end up doing the work the AI was supposed to do
Why AI changes the economics
Scoped agents beat general assistants.
An agent that does one job well — with the right context, tools, and review steps — earns trust and gets used. That's where the leverage is.
Context-grounded
Agents run on your data, SOPs, and tone, so outputs are usable, not generic.
Action-capable
They take real actions — update the CRM, draft the email, file the report — not just chat.
Reviewable
Human-in-the-loop approvals and audit logs keep consequential work safe.
What we implement
Agents we commonly build
We start with the highest-leverage one or two agents, prove value, then expand. Each is scoped, tested, and handed off with documentation.
Founder assistant
Inbox triage, scheduling prep, daily priorities, and drafting.
Sales development agent
Lead enrichment, personalized outreach drafts, and CRM hygiene.
Customer support agent
Triage, suggested replies, and deflection with your docs.
Content marketing agent
Briefs, drafts, and repurposing in your brand voice.
Finance reporting agent
Pulls numbers and drafts the monthly report and variance notes.
Recruiting agent
Screens applications, drafts outreach, and schedules.
Project management agent
Status roll-ups, nudge stale tasks, and meeting notes.
Investor update agent
Drafts the monthly update from your metrics and notes.
Knowledge retrieval agent
Answers internal questions with citations from your docs.
Example workflows
Workflows we wire up
Support triage
- 1Classify incoming ticket
- 2Draft reply from docs
- 3Route edge cases to a human
- 4Log resolution
Outbound prep
- 1Enrich the lead
- 2Draft a personalized note
- 3Queue for founder approval
- 4Sync to CRM
Monthly report
- 1Pull metrics
- 2Draft narrative + charts
- 3Flag anomalies
- 4Send for review
Deliverables
What you walk away with
FAQ
Questions founders ask
Whichever absorbs the most repeatable founder or team time with acceptable risk — usually support triage, sales follow-up, or reporting. The audit settles this with data.
We use the leading frontier models and select per task for quality, latency, and cost. You're not locked to one vendor.
High-stakes actions require human approval, every output cites its sources where relevant, and we log actions for review. We expand autonomy only as trust is earned.
Yes. They run in your accounts and infrastructure, and we document everything so you're never dependent on us to operate them.
Find your leverage before you hire.
Start with a Startup AI Audit: a workflow map, headcount-replacement opportunities, and a 30/60/90-day implementation plan.