TL;DR
You don’t need a bigger team—you need a smarter system. Our agentic methodology turns your everyday workflows into autonomous, measurable, and safe “doers” that compound output across sales, ops, product, and support. The result: more shipped work, shorter cycles, lower cost per outcome.
Who this is for: Founders and small teams (2–50 people) who wear five hats before lunch and want leverage without adding headcount.
What “Agentic” Means (In Plain English)
An agentic system is software that can watch, decide, and do—not just suggest. It plugs into the tools you already use (CRM, docs, ticketing, chat, analytics) and runs playbooks with humans in the loop, guardrails on, and outcomes measured.
Think of it as hiring a tireless generalist who never forgets a step, never gets bored, and documents everything for the next run.
Our Method: From Idea to Impact
We use a simple, repeatable path to value—fast:
- Discover (Leverage Map): Identify 3–5 high‑leverage workflows that gate revenue or time.
- Design (Agent Playbooks): Define the inputs, steps, tools, guardrails, and “done” criteria for each job.
- Deploy (Pilot → Production): Ship a working agent in days, not months. Human‑in‑the‑loop first, then increase autonomy.
- Drive (Measure & Scale): Track cycle time, error rate, and $/outcome. Clone what works to adjacent teams.
Deliverables you keep: Leverage Map, Agent Playbooks, integration connectors, governance/QA checklist, and a live metrics dashboard.
Role‑by‑Role: How a Small Team Punches Above Its Weight
Entrepreneurs wear multiple hats. Here’s exactly what changes for each one.
1) Founder / CEO — Make Time for the Work Only You Can Do
Jobs to be done: Prioritize bets, ship updates, keep everyone aligned.
What we build:
- Founder Briefing Agent: Digests CRM, pipeline, support, and delivery data into one weekly brief with “why it matters” and flagged risks.
- Meeting Synthesizer: Records, summarizes, and turns decisions into tasks with owners and due dates.
Outcome: Fewer status meetings, more decisive execution.
2) Sales — More Conversations, Less Clicking
Jobs to be done: Research, qualify, write, follow up, and book.
What we build:
- Prospect Researcher: Enriches leads, finds buying triggers, drafts first‑touch emails aligned to persona.
- Follow‑Up Autopilot: N‑step sequences that adapt tone and content to replies, always logged to your CRM.
Outcome: Shorter time‑to‑first‑meeting and cleaner pipeline hygiene—without adding SDRs.
3) Marketing — Content That Ships Itself
Jobs to be done: Plan calendar, write, repurpose, and measure.
What we build:
- Content Studio Agent: Turns webinars/podcasts/calls into posts, emails, and social variants with approved voice.
- SEO Briefing Agent: Drafts outlines from your POV, not generic filler; pushes tasks to your tracker.
Outcome: Consistent, on‑brand publishing and clearer line of sight to pipeline.
4) Product — Faster Learning Loops
Jobs to be done: Synthesize feedback, spec features, validate.
What we build:
- Voice‑of‑Customer Agent: Mines tickets, call notes, NPS, and community threads to surface themes with examples.
- Spec Drafting Assistant: Turns problem statements into PRDs with acceptance criteria and edge cases.
Outcome: Tighter cycles from “complaint → shipped fix,” fewer “we missed the real need” moments.
5) Customer Success & Support — Proactive, Not Reactive
Jobs to be done: Resolve issues, prevent churn, drive expansion.
What we build:
- Triage & Resolution Agent: Answers common questions with citations; escalates edge cases with context.
- Health Monitor: Predicts churn risks (usage drops, overdue onboarding steps) and opens tasks with playbook steps.
Outcome: Faster resolution, happier accounts, and clearer expansion paths.
6) Operations & Finance — Fewer Fires, Cleaner Numbers
Jobs to be done: Reconcile, forecast, keep the machine running.
What we build:
- Ops Orchestrator: Watches SLAs and process bottlenecks; routes work to the right person/agent.
- RevOps Reconciler: Cross‑checks bookings, invoices, and payments; flags mismatches with suggested fixes.
Outcome: Less manual cleanup, more forward‑looking insights.
A 10‑Day Pilot You Can Feel
- Days 1–2: Leverage Map (pick 1–2 workflows with clear ROI)
- Days 3–5: Build Playbooks + connectors, define guardrails and “done”
- Days 6–7: Ship human‑in‑the‑loop pilot; start collecting metrics
- Days 8–10: Tune prompts, thresholds, and error handling; promote to limited production
You get value even if we stop at Day 10: a working agent, documented playbook, and a metrics baseline you can grow.
What Good Looks Like (Targets We Design For)
- Cycle time ↓ 30–70%: From lead to meeting; ticket to resolution; idea to shipped doc
- Manual touches ↓ 40–80%: Less copy‑paste, more judgment calls
- Error rate ↓ 20–50%: Because the checklist runs the same way every time
- Throughput ↑ 2–5×: Same team, more finished work
Your actual numbers vary by workflow. We always measure, publish, and iterate.
Safety, Trust, and Governance—Baked In
- Human‑in‑the‑loop first. Autonomy increases only after quality is proven.
- Guardrails. Role‑based permissions, data‑access rules, and escalation paths.
- Citations & audit trails. Every answer can show its sources; every run is logged.
- Own your stack. We deploy with your tools and data; no black boxes.
Pricing & Engagements (Simple on Purpose)
- Pilot: One high‑leverage workflow to value fast.
- Build: Expand to 3–5 workflows with shared governance and dashboards.
- Run: Ongoing tuning, monitoring, and new playbooks as your business evolves.
(We’ll scope the work to your goals and budget before we start.)
FAQs
Will this replace my team?
No. It removes the grunt work so your team can do higher‑value, human work.
Do we need clean data to start?
Clean helps; it’s not required. We start where you are, and our agents often improve data quality as they work.
Which tools do you integrate with?
CRMs, help desks, doc stores, task trackers, chat, analytics, and data warehouses. If it has an API or can export data, we can likely connect it.
How do we measure success?
We pick 2–3 outcome metrics per workflow (e.g., cycle time, $/outcome, error rate), set baselines, and show deltas weekly.
See also
- What is an AI Agent?: Plain‑English guide for leaders
- Agent‑Driven Development: Video overview + adoption steps
- Build vs. Buy: Stop renting your roadmap