What We Build
We build AI agents that do real work inside your business. Not chatbots. Not copilots. Agents with jobs — specific workflows they execute on a schedule or on demand, using your existing tools.
- Task-specific agents — Each agent is built for one job and does it well: prospecting, data extraction, report prep, follow-up sequences, inbox triage
- Tool integration — Agents connect to what you already use: Google Workspace, CRMs, spreadsheets, databases, email, Slack
- Human oversight built in — Agents draft, stage, and flag. Humans review, approve, and send. You stay in control
- Persistent memory — Agents remember context across runs, so they get smarter about your business over time
- Transparent operation — Full logging, audit trails, and clear boundaries on what the agent can and can't do
Every agent we build is custom. Your workflows, your tools, your rules. No SaaS platform to outgrow, no per-seat pricing, no generic templates.
How It Works
We follow a structured process to get from "I wish someone would handle this" to a working agent:
Stage 1: Workflow Mapping
We sit down with you and map the workflow end-to-end. What triggers it? What tools are involved? What decisions get made along the way? Where does a human need to stay in the loop? This is where we figure out what's actually automatable vs. what needs judgment.
Stage 2: Agent Design
We design the agent's architecture: what model powers it, what tools it needs access to, what data it reads and writes, what guardrails keep it in bounds. You review and approve the design before we write a line of code.
Stage 3: Build & Test
We build the agent against your real data and tools — not a sandbox. You see working output within the first sprint. We iterate based on what the agent actually produces, not mockups or slide decks.
Stage 4: Deploy & Monitor
The agent goes live on your infrastructure. We set up scheduling, monitoring, and alerting. You get documentation and training so your team knows exactly what's running and how to manage it.
Our Approach
Discovery Sprint
One week to determine if an AI agent is the right solution for your workflow.
- Workflow mapping and analysis
- Tool and integration inventory
- Feasibility assessment and risk identification
- Agent architecture recommendation
- Scope, timeline, and cost estimate for the build
Agent Build
We build, test, and deploy your custom agent against real data and tools.
- Custom agent development for your specific workflow
- Integration with your existing tools and data sources
- Human-in-the-loop review workflows
- Memory and context management
- Scheduling, logging, and monitoring setup
- Documentation and team training
Ongoing Support
Continuous refinement as your needs evolve and as AI capabilities improve.
- Performance monitoring and tuning
- Workflow adjustments as your process changes
- Additional agent development for new workflows
- Model and tooling upgrades
Case Study: Drew, AI Sales Agent
The Problem
As a solo operator, sales outreach was the first thing to fall off the plate during client engagements. Weeks would pass without a single prospecting email. The pipeline would go cold.
The Agent
We built Drew — an AI sales development agent that runs every weekday morning. Drew reads a lead database, prioritizes prospects by signal strength, writes personalized outreach emails using real research about each company, and stages drafts for human review before anything sends.
The Result
- Consistent pipeline — outreach happens every day, not just when there's time
- Personalized, not templated — each email references the prospect's specific context
- Full transparency — Drew's email signature discloses that he's an AI agent
- Human oversight — every email is reviewed before it sends
What Agents Can Do
If a workflow is repetitive, structured, and currently eating someone's time, an agent can probably handle it:
Sales & Outreach
- Lead research and qualification
- Personalized email drafting
- Pipeline management
- Follow-up sequences
- CRM updates
Operations
- Inbox triage and routing
- Report generation
- Data entry and reconciliation
- Status updates and notifications
- Scheduling and coordination
Finance & Admin
- Invoice processing
- Expense categorization
- Compliance checks
- Vendor communication
- Monthly close prep
Customer Success
- Support ticket triage
- Onboarding sequences
- Usage monitoring and alerts
- Renewal reminders
- Feedback collection
Research & Analysis
- Market research briefs
- Competitor monitoring
- Content summarization
- Data gathering and structuring
- Trend analysis
Content & Marketing
- Social media drafting
- Newsletter assembly
- SEO monitoring
- Content repurposing
- Campaign reporting
Why Custom Agents
- Built for your workflow — not a generic tool you have to bend your process around
- No per-seat pricing — you own the agent, it runs on your infrastructure
- Model-agnostic — we use the best AI for the job, not the one we have a deal with
- Transparent and auditable — full logs, clear boundaries, no black boxes
- Human-in-the-loop by default — agents assist, humans decide
- Evolves with your business — as your process changes, the agent adapts