AI Automation & Agentic AI Agency

AI agents and automation that actually ship.

We design, build, and operate AI agents for growing businesses, wired into your tools and owned by you, not rented.

This is what automation actually looks like

Not a chatbot in a corner of your site. A workflow that runs on its own, end to end, and only taps you in when it should.

New lead submitted

A form fill, WhatsApp message, or CRM entry kicks off the workflow, no manual data entry.

Agent checks CRM + drafts reply

The agent pulls real account context and drafts a response grounded in it, not a generic template.

Sends personalized response

Once confidence is high, the reply goes out automatically, on-brand, and logged for review.

Flags edge cases for review

Anything ambiguous or high-value routes to a human with full context attached, not a dead end.

What we build

Six ways we put AI to work in your business

From a single agent that owns one workflow to full backend and knowledge infrastructure, scoped to what actually pays off.

AI Agent Development
Custom AI agents built on LangChain/LangGraph that plan, call tools, and complete multi-step work, not just answer questions.
Workflow Automation
n8n-powered automation that connects your tools and removes repetitive manual work, without locking you into a black box.
Custom AI Backends
Production-grade FastAPI/Python backends that put AI features behind a fast, typed, well-tested API, built to scale past a prototype.
RAG & Knowledge-base Systems
Retrieval-augmented systems that let your team (or your customers) ask questions in plain English and get answers grounded in your actual documents.
AI Chatbots & Customer Support Agents
Support agents that actually resolve tickets (order status, returns, account questions) and hand off cleanly to a human for everything else.
AI Strategy & Consulting
A clear, honest roadmap for where AI/automation actually pays off in your business, and where it doesn't, yet.
How we work

A process built to avoid expensive guesses

Every engagement follows the same four steps, so you always know what's being built, why, and what it costs.

01

Discover

We map your current workflow end-to-end before proposing anything. Most wasted automation spend comes from building the wrong thing well.

02

Design

A scoped, written plan: what the agent or workflow owns, what stays human, what it integrates with, and what it costs to run.

03

Build

Built against your real data and edge cases, not a demo. You see working software early and often, not just at the end.

04

Operate

We stay through the first month of real usage, tuning against actual behavior, then hand off with documentation your team can maintain.

Real engagements, real numbers

A sample of what we've shipped for clients across logistics, retail, healthcare, and insurance.

Freight & Logistics
Meridian Logistics
Automated dispatch confirmation and exception handling across three carrier portals, cutting manual dispatch admin from a full-time job to a part-time review task.
  • ~30 hrs/week - Manual dispatch admin removed
  • Same-day → under 15 min - Exception detection time
Read case study
E-commerce
Solstice Retail Group
A support agent that resolves order-status, return, and account questions directly through Solstice's order system, escalating everything else with full context.
  • ~64% - Tickets resolved without a human
  • 24 hrs → under 1 min - Average first response time
Read case study
Healthcare Operations
Cascade Health Partners
An internal knowledge assistant that lets clinical operations staff search policy and procedure documents in plain English, with citations back to the source page.
  • ~12 min → under 30 sec - Avg. time to find a policy answer
  • 400+ - Documents indexed
Read case study
Client feedback

What it's like to work with us

We stopped finding out about dispatch problems the next morning. The team gets flagged the moment something's wrong, not after it's cost us a day.

RD
Rachel DonnellyDirector of Operations, Meridian Logistics

NexAgent didn't just bolt on a chatbot. They scoped it to what it could actually do well and built real escalation for everything else.

MW
Marcus WebbHead of Customer Experience, Solstice Retail Group

Staff used to message a supervisor and wait for a policy answer. Now they just ask and get a cited source in seconds.

PN
Priya NairVP of Clinical Operations, Cascade Health Partners

The agent doesn't guess. When it's not confident, it says so and flags it for us. That's exactly the trust bar we needed for underwriting.

DO
Daniel OseiChief Underwriting Officer, Ironclad Underwriting Co.

I came in wanting 'an AI thing' with no real plan. NexAgent talked me out of two ideas that wouldn't have paid off and pointed me at the one that did.

ST
Sofia TorresFounder, Bright Path Coaching

Contract review used to eat a full day per associate. Now the first pass is done before they've had coffee, and they're only checking the parts that need real judgment.

EB
Elena BrandtDirector of Client Operations, Kestrel & Voss LLP

Our proposals used to take a week of back and forth. The agent drafts the first version from the discovery notes, and we're just refining it now.

TR
Tomas ReyesOperations Lead, Fieldstone Consulting Group

Tenant inquiries used to sit in an inbox overnight. Now most get answered in minutes, and only the tricky ones reach a human.

GO
Grace OkonkwoHead of Leasing, Harborline Property Group

We stopped running out of parts we didn't know we were low on. The reorder agent catches it before it becomes a production problem.

BL
Ben LarkinPlant Operations Manager, Northgate Manufacturing
Built on the tools you already trust
LangChainLangGraphn8nFastAPIPythonOpenAIAnthropicpgvectorPostgreSQLSupabaseDockerRedisLangChainLangGraphn8nFastAPIPythonOpenAIAnthropicpgvectorPostgreSQLSupabaseDockerRedis
0+Automated workflows shipped
0+Hours of manual work removed weekly, average client
0k+Support/ops tickets handled by agents monthly
0%Client retention
0+Automated workflows shipped
0+Hours of manual work removed weekly, average client
0k+Support/ops tickets handled by agents monthly
0%Client retention

Notes on agents, automation, and shipping AI that works

July 1, 2026
What RAG Actually Means for Your Support Team
Retrieval-augmented generation, explained without the jargon — and what it changes for a team drowning in documentation.
June 16, 2026
n8n vs. Zapier for Growing Teams
Zapier is a great start. Here's when the math starts favoring a self-hosted n8n setup instead.
June 2, 2026
5 Signs Your Business Is Ready for an AI Agent
Not every repetitive task needs a full agent. Here's how we decide what's actually worth automating first.

Before you book a call

The questions we hear most, answered honestly. If yours isn't here, ask us directly.

Ready to see what an agent could take off your plate?

Tell us about the workflow that's eating your team's time. We'll tell you honestly whether AI is the right fix, and what it would take to build it.