Everything we build, run, and hand over.
Four ways to put agents to work — from automating a single workflow to replatforming how your whole operation runs. Every engagement ends the same way: you own a system that keeps compounding.
Agentic workflow automation
We map your highest-leverage workflows and replace them with multi-step agent pipelines. Outputs land in your tools, on schedule, with audit trails.
Most automation breaks the moment a task needs judgment. Agents don't. They read the brief, pull the context, draft the output, check their own work, and route exceptions to a human — so the pipeline keeps moving while your team handles only what genuinely needs them. We start with the workflows that burn the most hours, prove the pipeline in a sandbox against your real data, then deploy with full observability.
- a.Workflow mapping & scoringWe audit how work actually flows through your team and score each workflow by leverage and feasibility.
- b.Multi-step agent pipelinesAgents that research, draft, review, and publish — chained together with human checkpoints where it matters.
- c.Delivery into your toolsOutputs land in your CRM, CMS, inbox, or dashboard — on schedule, in your formats.
- d.Audit trails & monitoringEvery action logged. You see what each agent did, why, and what it cost.
Your team spends hours every week on repeatable, multi-step work — lead research, content production, weekly reporting, client onboarding — and you want it running without you.
Custom AI agent development
Bespoke agents trained on your data, tools, and tone. Memory, planning, tool-use, evals — built to spec, deployed to your stack, owned by you.
Off-the-shelf assistants know nothing about your business. We build agents that do: grounded in your documents through retrieval, wired into your APIs through tool-use, and shaped to your voice. Every agent ships with an eval suite, so "it works" is something we measure, not something we claim. Single agents for focused jobs, multi-agent systems for work that needs a team.
- a.Retrieval over your dataRAG pipelines that ground every answer in your documents, knowledge base, and history — with citations.
- b.Tool-use & planningAgents that call your APIs, query your databases, and break big jobs into steps they execute reliably.
- c.Multi-agent orchestrationSpecialist agents that hand off to each other — researcher, writer, reviewer — under one coordinator.
- d.Eval suites & guardrailsAutomated tests for quality, safety, and tone, run on every change. You see scores before anything ships.
You've outgrown generic chatbots and need an agent with real knowledge of your business — your products, your policies, your customers — deployed inside your own stack and owned outright.
AI integration into existing systems
Drop intelligent layers into the stacks you already run — CRM, ERP, helpdesk, CMS. No rip-and-replace. Just suddenly capable software.
Your tools already hold the data; they just can't think with it. We add the intelligence layer: lead scoring inside your CRM, drafted replies inside your helpdesk, summaries inside your CMS, anomaly flags inside your ERP. Your team keeps the interfaces they know — the software underneath just got smarter. We work with native APIs and webhooks, so nothing about your stack has to change.
- a.Stack audit & integration mapWe inventory your tools, data flows, and APIs, and identify where intelligence adds the most leverage.
- b.In-tool AI featuresScoring, drafting, summarizing, classifying — surfaced inside the software your team already uses.
- c.Data sync & enrichmentRecords cleaned, deduplicated, and enriched automatically across systems.
- d.Security & rolloutPermissions respected, data scoped, changes rolled out gradually with rollback paths.
You've invested years in your current stack and the last thing you want is a migration. You want HubSpot, Salesforce, Zendesk, or your custom tools to simply do more.
Agentic strategy & consulting
Where to start, what to build, what to leave alone. We audit your operations, score opportunities, and ship a 90-day roadmap with measurable ROI.
Every company knows it should "do something with AI." Far fewer know which something pays back. We spend two weeks inside your operation — interviewing teams, mapping workflows, reading the numbers — and come back with a scored opportunity list, a build-vs-buy call for each, and a roadmap your team can actually execute. We'll also tell you what to leave alone; not every workflow deserves an agent.
- a.Operations auditA workflow-by-workflow review of where time and money actually go, grounded in interviews and data.
- b.Scored opportunity mapEvery candidate ranked by ROI, feasibility, and risk — so the first build is the one that pays back fastest.
- c.90-day roadmapA sequenced plan with owners, budgets, and success metrics. Built to ship, not to sit in a deck.
- d.Org design & trainingHow roles change when agents join the team — and hands-on training so your people run the system confidently.
Leadership is asking for an AI plan and you'd rather answer with a scored roadmap and ROI numbers than a slide of buzzwords. Also the right entry point if you're not sure which of our practices you need.
Three ways to engage.
Every practice above runs through one of these models. Start small, prove value, scale what works.
One workflow, one agent, one outcome. A fixed-scope build that proves the model on your real work before you commit to more.
The full 90-day arc: discover, prototype, deploy, operate. Multiple agents across one function — sales, marketing, ops, or support.
We run the agentic layer as your ongoing partner — monitoring, improving, and extending the system month over month. Or we train your team and hand off cleanly.
Pick a practice.
Bring a workflow.
Book a 30-minute working session. We'll tell you whether an agent can do it, what it would cost, and how fast we can ship.