Agents that do real work in your business.
AI Agent Development for Startups
AI agents are task-specific systems that handle real, repeatable work — drafting follow-ups, triaging support tickets, preparing reports, screening candidates, building content briefs. We design, build, train, and deploy them against your data and tools, with guardrails and human review where the stakes are high. You get agents that earn trust and stay in production, not demos that impress once and get abandoned.
- 1–3
- agents built and deployed in phase one
- Scoped
- to one job — not a general assistant
- You own
- everything — runs in your accounts
Sales development agent
Lead enrichment, personalized outreach drafts, and CRM hygiene — queued for rep approval.
Customer support agent
Triage, suggested replies grounded in your docs, and clean escalation for edge cases.
Founder assistant agent
Inbox triage, scheduling prep, daily priorities, and drafting so founders stay out of the weeds.
Content marketing agent
Briefs, drafts, and repurposing in your brand voice from your content strategy.
Finance reporting agent
Pulls numbers from source tools and drafts the monthly report and variance commentary.
Recruiting agent
Application screening, outreach drafts, and scheduling coordination.
The problem
Generic AI assistants don't run a business.
Off-the-shelf chatbots are impressive in a demo and useless in a real 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 — wired into how your business actually runs and grounded in your data.
- Generic AI doesn't know your customers, docs, tone, or process
- Demo-mode impressive, workflow-mode absent — adoption stalls
- No guardrails means no trust, so output review takes longer than doing it manually
- Founders end up doing the work the agent was supposed to handle
Why AI changes the economics
Scoped agents beat general assistants every time.
An agent that does one job well — with the right context, tools, and review steps — earns trust quickly. Once founders and teams trust it, usage compounds and the leverage grows without extra build.
Context-grounded
Agents run on your data, SOPs, and brand voice, so outputs are usable on day one — not generic.
Action-capable
They take real actions: update the CRM, draft the email, file the report, screen the candidate.
Reviewable by design
Human-in-the-loop approvals and audit logs keep high-stakes work safe and maintain team trust.
What we implement
Agents we build most often
We start with the one or two agents that absorb the most repeatable founder or team time with acceptable risk, prove value, then expand the roster.
Sales development agent
Lead enrichment, personalized outreach drafts, and CRM hygiene — queued for rep approval.
Customer support agent
Triage, suggested replies grounded in your docs, and clean escalation for edge cases.
Founder assistant agent
Inbox triage, scheduling prep, daily priorities, and drafting so founders stay out of the weeds.
Content marketing agent
Briefs, drafts, and repurposing in your brand voice from your content strategy.
Finance reporting agent
Pulls numbers from source tools and drafts the monthly report and variance commentary.
Recruiting agent
Application screening, outreach drafts, and scheduling coordination.
Project management agent
Status roll-ups, stale-task nudges, and meeting notes pushed to the right place.
Investor update agent
Drafts the monthly update from your metrics, notes, and milestones.
Use cases
Where founders apply this
- A sales rep spending three hours a day on enrichment and outreach drafting
- A support team handling the same fifty questions repeatedly
- A founder who wrote 80% of last month's investor update by hand
- A recruiting process where screening takes more time than the interviews
- A content team that can't keep up with the publishing cadence
- A finance function where monthly reporting takes two days to compile
Example workflows
Workflows we wire up
Support triage agent
- 1Incoming ticket classified by type and urgency
- 2Draft reply generated from your knowledge base
- 3Edge cases and escalations routed to a human
- 4Resolution logged for knowledge base improvement
Outbound sales agent
- 1Lead enriched with firmographic and contact data
- 2Personalized outreach note drafted in brand voice
- 3Draft queued for rep review and approval
- 4Approved note sent; CRM record updated
Investor update agent
- 1Monthly metrics pulled from dashboard and finance tools
- 2Narrative draft generated with key highlights and misses
- 3Founder edits and approves before send
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 outreach, or reporting. The audit or sprint settles this with actual data from your business.
We use frontier models and select per task based on quality, latency, and cost. Your architecture stays vendor-flexible so you can adapt as the landscape evolves.
High-stakes actions require human approval before they execute. Every output cites its sources where relevant, and we log actions for review. We expand agent autonomy only as trust is earned.
Yes. Agents run in your accounts and infrastructure, and we document everything so you can maintain and extend them without us.
A well-scoped agent typically goes from design to production in two to four weeks, depending on integration complexity and how readily your data is accessible.
Build agents that earn daily use, not demo-only applause.
We scope, build, train, and deploy agents against your real workflows — with guardrails, handoff docs, and a monitoring loop so they stay in production.