AI Team Building – Rank Thread

AI Team Building. Automation that replaces the busywork, not the team.

We audit where your team is losing hours every week, build custom AI agents on your existing stack (n8n, Make.com, or direct API), and hand them off with the training that makes them stick.

One-time project pricing starts at $2,997. No retainers. You own the agents from day one.

4.9 from 2500+ reviews

This is not an AI strategy engagement. This is not a slide deck about your AI maturity.

We start with a task audit. Not an AI strategy.

Most AI engagements start with a strategy phase. Slide decks. Maturity assessments. Roadmaps. Six weeks later you have documents and no working agents.

We do the opposite. Week one, we sit with your ops lead and the people doing the actual work. Every repetitive task on the team gets scored on three dimensions: hours reclaimable per month, adoption risk, and integration complexity.

You walk out with a ranked one-page Automation Opportunity Map. The first agent we build comes from the top of that map.

Most teams find 80 to 200 reclaimable hours per month before we write a line of agent code.

Agents built on your stack. Connected to your real tools.

The most common B2B AI failure is the isolated chatbot. A bot that lives on one webpage, does not read your CRM, does not write to Slack, and gets abandoned in 90 days. We do not build those.

Our default stack is n8n for teams that want self-hosting and full code ownership, Make.com for teams that want a faster build with no infrastructure overhead, and direct API in Node.js or Python for workflows neither platform supports.

Every agent we ship connects to a minimum of two production systems on day one. It reads from somewhere your team already uses and writes to somewhere your team can act on.

Inference runs through enterprise zero-retention endpoints on Anthropic Claude or OpenAI. Your data is never stored, logged, or used to train anyone else’s models.

Training and handoff included. So the agents actually get used.

An AI agent without an internal owner becomes an orphan in 90 days. An agent without observability becomes a liability the first time it sends the wrong email. An agent without training becomes a tool nobody opens.

Our handoff fixes all three.

Every agent ships with a named internal owner on your team, identified before kickoff. Every action it takes is logged for a 90-day audit trail minimum. Every project includes two structured training sessions with the people who will actually use the agent.

Thirty days after launch we come back, review the observability data with you, and tune anything the team is fighting.

Our five-phase process. Week one delivers the audit. The final phase delivers the team that owns it.

01 / Operational Drag Audit (Week 1)

One week. Not flexible.

We sit with your ops lead and the team leads for every department in scope. We map every repetitive task, every manual handoff, every workflow that exists because “we just always do it this way.”

Each task gets scored on three dimensions: hours reclaimable per month, adoption risk (1 to 5), and integration complexity (1 to 5).

You walk out of week one with a ranked one-page Automation Opportunity Map, a baseline of total reclaimable hours across the team, and the first three agent candidates picked for build.

No strategy documents. No maturity assessments. A signed-off list of what we are going to build, in what order, and how many hours each agent reclaims when live.

02 / Stack selection and integration mapping

Before we build, we lock the stack.

n8n if you want self-hosting and full code ownership. Make.com if you want a faster build with no infrastructure overhead. Direct API in Node.js or Python for workflows neither platform supports.

We then map every integration the first agents will need: CRM credentials, OAuth scopes, webhook endpoints, and the systems we will read from and write to.

Output of this phase is a one-page integration spec your IT or security team can review and sign off on before we touch any production system.

03 / Agent build, sandboxed and observable from day one

Agents are built in a sandboxed environment with full observability wired in from the first commit. Every action is logged. Every prompt is versioned.

If the agent needs to query your internal knowledge base (Notion, Google Drive, SharePoint, Confluence), we set up RAG with PII redaction at the ingestion layer. Your sensitive data never leaves your environment in raw form.

Every inference call runs through enterprise zero-retention configurations on Anthropic Claude or OpenAI.

You see the agent working in sandbox before it ever touches production data.

04 / Production cutover with human-in-the-loop by default

Agents go live with human-in-the-loop checkpoints on every high-risk action: external emails, customer record modifications, anything that touches money, compliance, or your customer relationships.

Your named internal owner reviews and approves these actions for the first two weeks.

As the agent earns trust on each action type, we graduate it to autonomous mode one decision class at a time. Nothing goes fully autonomous without explicit sign-off from the internal owner.

You stay in control the entire time.

05 / Training, handoff, and 30-day adoption check-in

Two structured training sessions with the people who will use the agent every day. Not a department-wide webinar. The actual users.

A written runbook for every agent covering what it does, what it cannot do, how to inspect its logs, and how to pause it if something looks off.

A 30-day adoption check-in where we review the observability data with you, tune anything the team is fighting, and confirm the named internal owner has full operational control.

You walk away owning the agents, the workflows, the integrations, and the credentials. We do not hold any keys.

Three packages. One-time project fees. You own the agents on day one.

Operational Drag Audit + 1 Agent

Audit one team. Ship one agent. See what is possible.

$2,997

/ one-time

For founders, ops leads, or department heads who want to take one painful, repetitive workflow off the team’s plate and get a documented map of what to automate next.

Multi-Agent Workflow Build

Audit. Three agents. Connected workflow.

$9,997

/ one-time

Everything in the Audit + 1 Agent tier, plus:
Three production custom AI agents
Agents connected across CRM, comms, and back-office systems
RAG over multiple knowledge sources with PII redaction at ingestion
Cross-agent orchestration via n8n or Make.com control plane
Full observability stack with 90-day audit retention
Two structured training sessions plus a 30-day adoption check-in
Documented runbook per agent
Named internal owner per agent
Optional SOC 2-aligned hosted deployment

For ops or revenue teams that already know where the bottleneck is and want a connected workflow of agents shipped, adopted, and audited inside four to six weeks.

Enterprise AI Team Build

Multi-team. Five or more agents. Compliance-ready.

$34,997

/ one-time

Everything in the Multi-Agent Workflow Build, plus:
Operational Drag Audit across multiple teams or departments
Five or more production custom AI agents
RAG infrastructure across multiple knowledge bases with role-based access controls
SOC 2-aligned deployment with documented data flow diagrams
Extended observability and anomaly alerting on agent behavior
Dedicated solutions architect retained through launch
60-day adoption runway with weekly check-ins
Expanded documentation package for compliance and audit surfaces

For funded B2B SaaS scaling into regulated industries or rolling out automation across multiple departments. Typical engagement runs 8 to 14 weeks.

Common questions about our AI team building services

Where does our company data go when an AI agent processes it? Is it used to train someone else's model?

No. All custom agents we build are deployed on infrastructure you control, either your own cloud account or our SOC 2-aligned hosted environment. Never a shared multi-tenant model.

We route inference through API providers (Anthropic Claude, OpenAI) using their zero-retention enterprise endpoints, which means your prompts and data are not stored, logged, or used to train future models.

Sensitive fields are redacted via PII guardrails before any data leaves your environment, and every agent action is logged for audit review.

What happens when the agent makes a mistake? Can we see what it did?

Yes. Every agent we ship is observable by default.

Every action the agent takes (every API call, every CRM record it touches, every email it drafts) is logged with a timestamp, the prompt that produced it, and the human approval checkpoint if any.

We use LangSmith or your observability platform for a 90-day audit trail minimum. High-risk actions like sending external emails or modifying customer records require human approval until your team explicitly graduates them to autonomous mode.

How do you make sure our team actually uses the agent after it is built?

Adoption is engineered into the build, not bolted on at the end. Three things make our handoff different:

First, the Operational Drag Audit scores every task on adoption risk before we build, so we do not ship agents for workflows your team will resist.

Second, every agent ships with a named internal owner identified before kickoff. The agent has a person, not a department.

Third, the project includes two structured training sessions plus a 30-day adoption check-in where we tune the agent based on real user feedback, not assumptions.

Do you build on n8n, Make.com, or something else?

We build on whatever stack fits your team's technical maturity and integration needs.

n8n is our default for teams that want self-hosted control, full code access, and lower long-term licensing cost. Make.com is our default for teams that want a faster build and do not need self-hosting.

For agents that require custom logic outside what either tool supports, we build directly against API endpoints in Node.js or Python and orchestrate from the same control plane.

We do not lock you into a platform.

Is this a monthly retainer? How is the engagement priced?

No retainer. Every engagement is priced as a one-time project fee, starting at $2,997 for the Operational Drag Audit plus one custom agent. Multi-agent workflow builds are quoted as a single fixed project price.

You own the agents, the codebase, the workflows, and the integrations on day one of handoff.

If you want ongoing optimization after launch, we offer that as a separate, optional engagement. It is never required to keep the agents running.

Let's audit the drag

Thirty minutes. No pitch. Just a clear picture of where your team is losing hours every week, the three workflows where a custom agent would actually stick, and what the Operational Drag Audit would map for your team in week one. Before any code gets written.

Book a call