From the Atlantic team

Practical thinking on AI agents

No hype. Real companies, real deployments, lessons from the field.

Human oversight patterns for AI agents in production
Operations

Human Oversight Patterns That Actually Work in Production

Escalation paths, scope limits, and audit trails: the three patterns we see teams use to keep agents from going off-script and keep humans in the loop where it matters.

Ege Celik
Ops leaders rethinking team structure with AI agents
Operations

Ops Leaders Are Rethinking What a Team Needs to Look Like

When an AI agent handles vendor follow-ups reliably, you stop thinking about headcount the same way. Early Atlantic customers are restructuring how their teams spend time.

Ege Celik
What makes an AI agent reliable for production
Engineering

What Makes an AI Agent Reliable Enough for Production

Reliability in agent systems is not about accuracy metrics. It is about determinism, bounded failure modes, and fast human handoffs when the agent reaches its confidence limit.

Yara Okonkwo
Building an SDR agent that works with your CRM
Sales

Building an SDR Agent That Actually Works with Your CRM

The common failure mode for SDR agents is not the AI logic, it is the CRM integration. Here is how to wire an outreach agent that stays synchronized with your actual pipeline.

Yara Okonkwo
Early access partner stories at Atlantic
Case Studies

What Our Early-Access Partners Built in the First 30 Days

Twelve teams deployed Atlantic during our early-access program. Here are three use cases that surprised us and what they taught us about where the role-based model works best.

Ege Celik
Five operations workflows to automate
Operations

Five Operations Workflows Worth Automating Before You Hire

Vendor follow-ups, expense categorization, meeting scheduling, status reports, and inbound request routing. These five workflows are costing your team 10 or more hours a week.

Ege Celik
Integrating AI agents with CRM stack
Engineering

Integrating AI Agents with Your CRM Stack Without Breaking Things

Read-only access, scoped write permissions, and audit logging: the three principles that keep an AI agent from turning your CRM into a mess of duplicate records.

Yara Okonkwo
Why AI agent projects fail before production
Operations

Why Most AI Agent Projects Never Make It to Production

Across conversations with dozens of operations teams who tried and failed to deploy AI agents in 2024, the failure modes were remarkably consistent, and almost none of them were technical.

Ege Celik
The role-based agent model explained
Product

The Role-Based Agent Model, Explained

Instead of building one large general-purpose agent, Atlantic assigns a defined agent to each company role. Here is why that constraint produces more reliable behavior.

Yara Okonkwo
Agent monitoring 101 for production deployments
Engineering

Agent Monitoring 101: What to Watch When Your Agents Go Live

Action counts, escalation rates, and latency are the three metrics that tell you whether your agents are running well or silently failing. Here is how to read each one.

Yara Okonkwo
Building the first operations agent at Atlantic
Product

Building the Operations Agent: What We Learned in Beta

Our first production-ready role template came out of eight months of beta testing with operations teams at growing companies. Here is what changed and what we got wrong initially.

Ege Celik

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