Your partner in intelligent software
AI agents. Connected systems. Custom applications. We engineer the software that moves your business forward.
Agent intelligence
Our experience includes
From a request to a result
A request arrives. The agent retrieves relevant knowledge, reads connected records and identifies what is missing. Your business context shapes the next step.
We specialise in AI agents, integrations and custom applications. One engineering partner to make the whole system work.
Give repetitive work to agents that understand the context, use your tools and bring people in when a decision needs their judgment.
We start by defining the task, the information it needs and the limits of the agent’s authority. Then we build and test the workflow against representative requests, including ambiguous questions, missing data and exceptions.
Start with the work your team repeats every day. These are examples of the processes we can design with you.
Read an incoming question, retrieve the relevant customer or order information, and prepare a useful response. Add a review step before a reply goes out, or route the request to the right team.
Requests → context → a prepared responseFind answers across the information your organisation uses. Extract the fields a process needs, compare them with existing records and flag missing or conflicting details for review.
Documents → structured information → reviewIdentify tasks waiting on information, approval or a next action. Coordinate reminders and hand exceptions to the person responsible, with a record of what has happened.
Outstanding work → follow-up → resolutionPut agent capabilities inside a portal or internal application. Give customers and colleagues a place to ask questions, start a workflow, check progress and approve the next step.
Your application → agents → your systemsThe framework behind our work
Loom is our framework for building customer-specific AI agents, integrations and workflows. It connects the systems you already use with the logic and interfaces your process needs. We use it to turn an AI idea into software your team can work with.
Import an OpenAPI or Swagger specification and turn API operations into reusable connectors. The same connection can become a step in a workflow or a tool for an agent. For systems with their own requirements, we configure authentication and build the integration around the available interface.
Combine triggers, conditions, agent steps and actions in a visual workflow. Choose the model and tools an agent may use, define the output you need and add human approval where it belongs. Durable execution keeps track of each step so a process can continue after an interruption.
Loom’s AI chat can help investigate workflow runs and read information from connected integrations. Its copilot can also propose dashboard cards that you can review and pin. Chat assistance provides insight; configured workflows and agents handle the actions you authorise.
Connect knowledge retrieval to the agent’s work so it can find supporting information instead of relying on a prompt alone. We design the knowledge sources, tool access and application interface around your use case, including the decisions your team needs to review.
Custom-built for the organisations we work with. A look at the challenges we help solve.
Customer case / Custom AI agents
Custom agents developed for FAIR to support shift checks, approval follow-ups and withdrawals. Built around the customer’s processes, with people handling the exceptions.
We developed agents that check worked hours, follow up on approvals and handle withdrawals. Connected to FAIR’s existing systems, the solution gives staff one place to review exceptions and stay in control.
Customer case / Applications & integrations
Professional screening through configurable verification flows. Applications for recruiters and professionals, connected to the systems they use.
Identity, qualifications and other checks come together in a configurable flow. API and webhook integrations keep screening progress connected to recruitment software.
A useful first release begins with understanding the people, decisions and systems involved.
Together we identify the people, data, decisions and applications involved. We agree the first use case, its boundaries and the evidence we need to judge whether it works.
We develop a working version, connect the required tools and test representative scenarios with your team. Reviews include the happy path, missing information and exceptions.
We agree how the solution will run, who reviews exceptions and how support works. Your team gets an explanation of the workflow and its controls, with a clear next iteration.
Based in Utrecht, with development teams in the Netherlands, Albania and North Macedonia. Our background in software architecture and application development shapes how we build AI.
Let’s talkUseful automation needs clear responsibility. Before building, we agree what an agent may read, what it may change and when a person must decide. We design those choices into the application and workflow.
Connect the information and operations the task needs. Configure credentials and access to match the intended role.
Place approval and escalation steps where mistakes would matter. Give your team the context they need to make the call.
Follow workflow progress, review agent activity and investigate exceptions. Use what you learn to improve the next iteration.
Start with a recurring task that takes time and has a clear result. Together we look at the available data, the systems involved and the decisions that need a person. That gives us a practical first use case.
Yes, where your software provides suitable APIs or other integration options. We assess access, permissions and data quality before choosing an integration approach.
That depends on the work. Predictable rules often suit regular software. Tasks that require interpreting text or context may benefit from an agent. We can combine both in the same application.
We agree which actions an agent can take, where approval is needed and when it must escalate. Those boundaries become part of the workflow, alongside monitoring and a record of actions.
Loom can turn suitable REST APIs and OpenAPI specifications into connectors for workflows and agents. We assess each system’s interface, authentication and data model. Where a ready-made connection is not available, we can develop a custom integration.
An AI chat helps you ask questions and investigate information. A configured agent workflow can use approved tools to perform steps in a process. We make the distinction explicit and define which actions need human approval.
Often, the best first step is to connect and extend what you already have. We assess whether an integration, an embedded agent or a new application solves the problem most directly.
We begin with the process, systems, data and expected result. That lets us identify the integration work, the agent behaviour and the review points involved. We then agree a scope and delivery approach before implementation.
A custom agent. A better application. Systems that finally work together. Tell us where you want to go.
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