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AI agent development
Custom AI agents that work for your business
We design, build and run AI agents that take real work off your team across pricing, sales, marketing and operations, as part of our AI automation agency. Each agent connects to the tools you already use, follows the rules you set, and keeps a person in control of anything that matters.
What we do
AI agent development services
From the first idea to an agent that runs in production and earns its keep. Start with agentic AI consulting, or come with a clear brief and we take it from there.
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Agentic AI consulting
We map where an agent pays off, score the highest-return use case, and agree the metric to move before anyone writes a line of code.
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Custom AI agent development
We build custom AI agents around your processes and your data, not a generic template, wired into the tools you already run.
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AI agent integration
We connect agents to your stack over real APIs: your store, CRM, ERP, inbox, calendar and data sources, so they act where the work happens.
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Agent-as-a-Service
Prefer not to run it in-house? We host, monitor and operate the agent for you, billed as a service that scales with the volume it handles.
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Support and maintenance
We keep agents accurate as your tools, prices and rules change, with evals that catch regressions early instead of after a customer does.
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Enterprise and self-hosted
For regulated and enterprise teams we deploy AI agents on your own infrastructure with EU data residency, on a case-by-case basis.
Ready to deploy
AI agents we have already built
Six agents for common jobs where speed and scale beat doing it by hand. Start with one as a fast first build, or we develop a custom agent for a job that is specific to your business.
- E-commerce
Dynamic Pricing Agent
Price every product right, around the clock.
Watches demand, competitor moves, stock levels and your margin rules, then adjusts prices automatically. You set the guardrails; the agent works the catalogue.
- Marketing
GEO Optimization Agent
Get your brand cited inside AI answers.
Generative engine optimization: audits, fixes and tracks your brand across ChatGPT, Google AI Overviews, Perplexity and Gemini, so AI answers cite and recommend you, not just classic search.
- E-commerce
Product Enhancement Agent
Product data enrichment at catalogue scale.
Enriches titles, descriptions and attributes across thousands of SKUs, optimises them for search, Amazon, eBay and Google Shopping, then A/B tests the copy so only variants that convert stay live.
- Marketing
Website Growth Agent
Maintain, improve and grow your site on autopilot.
Runs a continuous improve-and-measure loop on your website: technical SEO, page speed, content refreshes, CRO tests and uptime monitoring, prioritised by revenue impact.
- Sales
Quotation Agent
Automated quoting from any inbound request.
A custom AI quotation agent that reads any inbound request, configures products, prices from your live ERP and CPQ rules, generates a branded quote and follows up, collapsing quote turnaround from days to minutes with your rules enforced.
- Sales
AI SDR Agent
A custom AI SDR that books meetings, not spam.
A custom AI SDR agent that researches prospects, writes personalised email and LinkedIn touches, runs the follow-up cadence and books meetings. Deliverability-first and human-in-the-loop, so volume never costs you the brand.
Track record
A team that ships in production
An AI agent development company with the track record to back it. #1 No-Code Company in EMEA 2024. AI Partner of the Year 2025. Make.com Platinum Partner. ISO 27001 and ISO 9001 certified. 500+ projects delivered across Europe.
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500+
Clients
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15000+
Automations
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7+
Years of experience
Process
How we build an agent with you
From a scoped first agent to one that runs in production and earns its keep.
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Agentic AI consulting
We map the job, the data and the tools, score where an agent pays off, and agree the metric to move before the build starts.
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Design the agent
Loop, tools, memory, guardrails and approval gates. We design for the messy real cases, not the happy path.
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Build and connect
We build the agent, wire it into your systems, and test it against real examples before it touches anything live.
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Run, measure, improve
We launch with people in the loop, track the metric, and keep tuning. You can run it yourself or have us operate it.
Under the hood
What our AI agents are made of
Every agent we build runs inside the same six layers, so it stays accurate, safe and accountable in production, long after the demo is over.
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The agent loop
The control logic that calls the model, runs each tool, checks the result, and decides when the job is finished or needs a person.
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Tools and integrations
The agent acts through your real systems: your store, CRM, ERP, inbox, calendar and data sources, connected over their APIs.
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Memory and context
Short-term working notes plus long-term memory and retrieval, so the agent has the right facts in front of it for each decision.
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Guardrails and approvals
Hard limits on what the agent is allowed to do. High-risk actions wait for a person to approve them before they run.
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Observability and evals
Every model call, tool call and decision is traced. We test against real cases before launch and watch for regressions after.
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Human in the loop
You stay in control. The agent handles volume and routine work; people review the edge cases and keep brand and compliance safe.
Why Makeitfuture
Why choose our AI agents
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Model-agnostic
We pick the model per job, not per fashion. We build on Claude, OpenAI GPT, Google Gemini and open models such as Llama and Mistral, and switch as they improve.
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Built on real engineering
Guardrails, memory, tracing and evals from day one. The unglamorous engineering is what keeps an agent working past week one.
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You stay in control
You set the rules and the approval gates. The agent works inside them and routes anything risky to a person before it acts.
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Works with your stack
Shopify, HubSpot, Salesforce, NetSuite, Make.com, n8n and the rest. We connect to what you already run instead of asking you to switch.
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EU data residency and GDPR
We run AI workloads with EU data residency and GDPR compliance built in, so legal and security sign-off is part of the plan, not an afterthought.
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Measured against business goals
Margin, conversion, pipeline, response time. We agree the number that matters first, then build the agent to move it.
The stack
The models and tools we build on
We are model-agnostic and platform-agnostic. We choose the right model and the right orchestration for the job, and connect to the systems you already run.
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Models
- Claude (Anthropic)
- OpenAI GPT
- Google Gemini
- Llama
- Mistral
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Orchestration
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Connected systems
- Shopify
- HubSpot
- Salesforce
- NetSuite
- Your APIs
Trust
We build safe, compliant and ethical AI
Security and compliance are part of the build, not a bolt-on. We run AI workloads with EU data residency and GDPR built in, and design every agent to stay under human control.
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Data stays in the EU
EU data residency by default, with GDPR compliance built into every workflow, so customer data does not leave the region without a reason.
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Certified delivery
We are ISO 27001 and ISO 9001 certified, so security and quality sign-off is part of how we work, not a promise.
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Built for the EU AI Act
We design agents with clear purpose, human oversight and traceable decisions, so they hold up against the EU AI Act.
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Human in the loop
High-risk actions wait for a person to approve them. The agent never acts outside the limits you set.
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Full traceability
Every model call, tool call and decision is logged, so you can always see what the agent did and why it did it.
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Self-hosting on request
For regulated teams we deploy agents on your own infrastructure, case by case, so sensitive data never leaves your environment.
Chatbot vs AI agent: what is the difference?
Both use a language model. Only one of them does the work.
| Aspect | Chatbot | AI agent |
|---|---|---|
| What it does | Answers questions with text | Pursues a goal and completes the task |
| Takes action | No, it only replies | Yes, it uses your tools to act |
| Handles new cases | Only what it was scripted for | Reasons over situations nobody scripted |
| Works across tools | Usually one chat window | Across your store, CRM, ERP and inbox |
| Best for | FAQs and quick replies | Pricing, quotes, outreach and operations |
Need the conversational side rather than an agent that acts? We also build conversational AI and chatbots, custom GPTs and OpenAI personal assistants, plus a customer support AI agent that resolves tickets end to end.
Frequently asked questions
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How much does it cost to build an AI agent?
It depends on the scope, but most first agents land between a few thousand euros for a tightly scoped build and the low tens of thousands for a more involved one. We scope a fixed price up front against one job and one metric, so you know the number before we start, and you can expand once it pays off. -
How do you price ongoing operation with Agent-as-a-Service?
You can run the agent yourself after handover, or we operate it as a service: hosting, monitoring and ongoing improvement for a monthly fee that scales with the volume it handles. We agree it before launch, so there are no surprise costs. -
Where does our data go, and can the agent be self-hosted?
By default we run agents with EU data residency and GDPR compliance. For regulated or enterprise teams we can deploy on your own infrastructure, case by case, so sensitive data never leaves your environment. -
Do we need a custom agent, or can we use one of the six?
Start with one of the ready-built agents if it fits a job you already have, since it is the fastest way to see value. When the job is specific to your business, we build a custom AI agent around your process instead. -
How do you measure whether an agent is working?
We agree the metric that matters first: margin, conversion, pipeline or response time. Then we build the agent to move it and track that number after launch, so the return is visible rather than assumed. -
Which models and tools do you build on?
We are model-agnostic. We build on Claude, OpenAI GPT, Google Gemini and open models such as Llama and Mistral, orchestrated with tools like Make.com and n8n, and we pick the right one for the job rather than forcing a favourite. -
How quickly do we see results?
We start with one scoped agent on a job with a clear metric, so the first version is usually live in weeks, not quarters. You see the effect on that metric early, then decide whether to expand to more agents. -
Are AI agents safe to let loose on our systems?
They run inside guardrails you define. The agent can only take the actions you allow, and anything high-risk waits for a person to approve it before it runs. Every step is traced, so you can see what it did and why, and we run AI workloads with EU data residency and GDPR compliance.
