AI Agent Development. Useful work, with people in control.
We design, build and maintain custom AI agents that do real work in your tools, with approval steps, testing and logs built in from the first day.
We grow your business with
- CROturn traffic into leads
- SEOrank & get found
- GEOwin generative search
- AEOget cited by AI answers
- AIbuild a website that learns
Why build an agent
An agent should finish a job, not just answer a question
A chatbot answers. An agent acts: it reads the request, chooses a step, uses your tools, checks what happened and keeps going until the job is done or it needs a person. That makes agents useful for work that crosses several systems and follows rules, such as handling a support request, qualifying a lead or preparing a report from scattered records.
It also makes them riskier. An agent that can update a record or send an email can do those things wrongly, and a demo rarely shows you how often that happens. Most of the work in a dependable agent is not the model. It is the permissions, the tests, the approval steps and the logs around it. That is the part we focus on.
We use AI agents in our own engineering. We run our own large website with Claude Code, and the rebuild case study covers what worked and what went wrong. We also built LedgerMCP, an MCP server for bookkeeping, and we publish an independent AI Agent Leaderboard that no one can pay to appear on. eSEOspace is a member of the Claude Partner Network. Claude and Claude Code are Anthropic's products.
What we build
AI agent development services
Custom agents for a specific job, the connections they need, and the upkeep that keeps them accurate. Every project starts narrow and grows only after it has proved itself.
Customer Support Agents
Answer routine questions from your own policies and records, look up orders or accounts, and hand anything sensitive to a person with the full context attached.
Lead Intake & Sales Agents
Qualify inquiries, update your CRM, draft follow-ups and book calls, so new leads get a quick first response and your team spends its time on the right ones.
Back-Office Agents
Read documents, move data between systems, reconcile records and prepare reports, with exceptions flagged for someone to decide.
Research & Reporting Agents
Gather information from your approved sources, compare it, cite where it came from and write the first draft of the brief or report.
MCP Servers & Integrations
Connect models to your CRM, database or internal tools through secure, documented connections, with the permissions scoped to what each agent needs.
Audits & Rescues
Already have an agent or pilot that is unreliable or too expensive? We review its prompts, tools, permissions and costs, then tell you what to fix or whether to stop.
How we work
The guardrails on every agent
An AI model can be confidently wrong, and it can be tricked by instructions hidden in the emails and web pages it reads. So we design every agent as if both will happen.
- Least-privilege access for every tool
- Secrets kept out of prompts and code
- Human approval for risky or irreversible actions
- Treat outside content as untrusted input
- Spending and rate limits
- A test set built from your real work
- Tests re-run before every change ships
- A log of every step and tool call
- Staging before production
- An off switch your team controls
- A named person who owns the agent
- Handover docs your team can use
A straight answer
When you should not build an agent
Plenty of jobs do not need one. If the steps are always the same, ordinary automation is cheaper, faster and easier to trust. If a good product already does the job, buy it. If a mistake would be expensive and nobody has time to review the work, or if nobody can say what a good result looks like, an agent will only make the problem harder to see.
We would rather tell you that during scoping than sell you a build you do not need. If plain software is the better answer, our AI-powered software and CRM and Claude Code development teams can build that instead.
The process
How an agent project runs
One job at a time, tested on your real work, with a person signing off at each stage.
Pick the Job
We choose one job worth automating, write down what a good result looks like, and check whether plain software or an existing product would do it better.
Test Models
We collect real examples from your work, including the awkward ones, and run the shortlisted models against them before any big build.
Build
We connect the tools, set the permissions, write the instructions and add the approval steps, all in version control on a staging copy.
Supervised Launch
The agent starts with a person approving its actions. We widen what it can do alone only when the results justify it.
Measure & Maintain
We track quality, cost per task and how often people step in, then re-test when models, tools or your process change.
Choosing a model
We pick the model after testing, not before
Models change quickly, and the best one for coding may not be the best one for reading contracts or answering customers. We track the independent benchmarks on our coding, knowledge work and reliability boards, and the methodology explains how they are combined and where they fall short.
A benchmark only narrows the list. The decision comes from running your own examples, then weighing quality against cost per task, speed, and where your data is allowed to go. Where the job allows it, we also build so the model can be swapped later without rebuilding the agent, because this week's leader may not stay on top.
Pricing
Quoted per project, after scoping
Every agent is different, so we scope the job first and then give you a fixed quote for the build. The main cost drivers are how many systems it connects to, how much risk its actions carry and how much testing that requires. AI model usage is billed by the provider, separately from our fees, and we estimate it per task before you commit. Ongoing work can run on a monthly plan.
Read the AI agent pricing guide →What clients say
Businesses grow with eSEOspace
- ★★★★★
“Since beginning work with Irina and her staff at eSEOspace our internet activity has really begun to lift off. We had lots of issues with our site and the site was built several years ago. Irina found the problems, created a plan to fix them, and has since been implementing the plan to drive traffic to our site. Give them a call — they are a great company to work with!”
Brad SneedJayComp Development · Trustpilot
- ★★★★★
“After quickly exiting a previous marketing contract and needing to hit the ground running, the swift and capable onboarding with eSEOspace was exactly what we needed. Six months in, it's been a completely different experience. Irina and her team bring a level of attention to detail and consistency that you rarely find. As someone with over 15 years of marketing experience, I'm not easy to impress — what sets them apart is that they genuinely listen. It feels like a partnership, not a vendor relationship. eSEOspa…”
Ashley MurrayMarketing Leader · Trustpilot
- ★★★★★
“We have had an outstanding experience working with Ben Gunther, Project Manager at eSEOspace. From day one, the team has been incredibly patient, educational, and supportive. They created a gorgeous Shopify store for our company that is both professional and perfectly on trend. I genuinely do not have one negative thing to say. I would absolutely work with them again and highly recommend eSEOspace.”
SarahShopify store owner · Trustpilot
5.0 ★ average across 92 client reviews on Google, Trustpilot, Clutch & DesignRush. Read them all
Project Managers who will work with you on your project!
Irina S.hello@eseospace.com
Benjamin G.ben@eseospace.com
David G.david@eseospace.comWork with us
Talk to the team behind your project
Tell us what you need and we’ll match you with the right people.
Book a Discovery Call
FAQ
Common questions
What is an AI agent?
Do I need a custom agent, or will an off-the-shelf tool do?
Which AI model will you use?
How much does an AI agent cost?
How long does it take to build one?
Can an agent work with the software we already use?
How do you keep an agent from doing something wrong?
Can you build agents for healthcare, legal or financial work?
Who looks after the agent once it is live?
Have a job you want an agent to do?
Tell us what the job is, which tools it touches and what a mistake would cost. We'll tell you plainly whether an agent is the right answer, and if it is, we'll outline the scope, the safeguards and a quote.
Book a Strategy Call →
