We build AI agents that integrate with your existing systems
Permissions, legacy systems, real money, real customers. We do the hard parts alongside your engineers.
We do with,
not for.
Architect your first agent
You have workflows that need agents, but nothing in production. We build a working agent on your real data, with the memory, integration, and orchestration patterns that make your tenth agent as straightforward as your second.
Harden your Agent Systems
Harden your agents to survive contact with real systems: integrations into production software, evals that prove quality before release, observability that shows what the system is doing once it's live.
Partner on Production Systems
You have agents in production that need to stay reliable and grow. Your team takes over more each quarter, while Focused engineers provide ongoing, hands-on guidance. We monitor behavior, tighten evals, control cost, and extend the system into new workflows.
The partner that LangChain trusts for complex agent systems.
“Focused is the expert in the LangChain ecosystem, from deploying and operating LangSmith to building production-grade agents for complex enterprise environments.”
Harrison Chase
CEO, LangChain
The hard part of agents is integration.
The hard part of agents is integration.
Anyone can build an agent. Very few can make it work inside years of accumulated business software. That's where Focused does its best work.
Integrated agent systems.
Integrated agents work with the software, data and logic your business depends on.
Built by engineers who've shipped this before.
Senior engineers for the hard part
Making new technology work inside complex enterprises, for years.
Eval-driven
development
We define what "good" means for your system, build the datasets and scoring to measure it, and gate releases on it.
Observability
by default
Everything is instrumented. Full trace visibility into production behavior, so you catch problems before your users do.
You own it when
we leave
We embed, pair, and document, so your team understands every decision, and run the system without us.
LangChain
Expertise
As LangChain’s only boutique consulting partner, we help teams use LangGraph, LangSmith, and the broader LangChain ecosystem to build reliable, maintainable agent systems.
We’ll tell you when not to use an agent
We come from rigorous software engineering. Sometimes the right answer is a deterministic system, not an agent, and we'll say so. You're hiring judgment, not hype.
12+
Strategists at one of the world's largest PR firms were acting as human orchestration layers between disconnected data tools. Focused delivered 12+ production agents including a multi-agent deep research system that their teams now use daily, with evals gating every release.
~90%
OCS clients now get paid in an average of 32 days, far ahead of industry norms, on a claims platform that has processed 50,000+ invoices. Focused built the human-in-the-loop agent that reads submission packets, matches line items at ~90% extraction accuracy, and drafts justifications, so advocates justify differences instead of comparing PDFs.
Let's build something better, side-by-side.
Tell us what you’re building, where it’s getting stuck, and what you’re trying to solve next. We’ll talk through the system and identify where Focused can help.
Fill out the form and speak with a builder to:
Identify gaps in your current architecture, evals, observability, or reliability
Highlight opportunities to improve or scale your agent systems
Determine whether Focused is the right partner for the work
Your message has been sent!
Questions teams ask before building agent systems
Building an agent system inside a real business environment comes with real technical decisions. These are the questions we help teams work through.
How do we know which workflow is the right place to start?
Many teams have a long list of possible agent use cases. We help narrow it to the workflows where the technical path is clear enough to build. We look at existing systems, data, human handoffs, and risks. The goal is to identify the first right system to build with your team
What architecture do we need for our agent system?
That depends on the workflow, the systems involved, the data available, the reliability requirements, and where humans need to stay in the loop. Focused helps teams design the right architecture across agents, tools, retrieval, orchestration, integrations, evaluation, and observability.
How should the agent retrieve information, reason, act, and hand off to humans?
We design these patterns around the work the agent needs to support. That may include retrieval from internal knowledge, tool use, approval flows, human-in-the-loop controls, escalation paths, and clear rules for when the system should act, pause, or ask for help.
How do we evaluate quality, reliability, cost, and risk?
We help teams define what good looks like, build evaluation datasets, create scoring criteria, track regressions, monitor cost and latency, and use tools like LangSmith to understand how the system behaves over time. Evaluation is not a final step. It is part of how the system gets designed, built, and improved.
How will the agent integrate with the applications our team already uses?
Integration is core to how we build. We design agent systems around existing software, APIs, data sources, permissions, workflows, and business logic so the agent can operate inside the environment your team already depends on.
What happens after the first agent is built?
Agent systems need monitoring, iteration, evaluation, refinement, reliability improvements, cost tuning, and expansion into new workflows over time. Focused can stay close to help teams improve the system, extend it, and build the internal capability to operate it with confidence.
How does Focused work with our engineering team?
Focused engineers embed with your team through architecture sessions, pairing, code reviews, documentation, debugging, and implementation support. We do the hard technical work with your team, not around them, so your engineers understand the patterns, tradeoffs, and systems they will need to maintain and extend.