AI agent development services

We build AI agents, integrate them into your systems, and hand back something that runs. Whether you're exploring your first AI agent or expanding an existing setup, we can help through a Fixed Price Project or Continuous Monthly Development.

An AI agent is software that uses artificial intelligence to perform work on its own: it reads from your data, decides what to do next, takes action in your systems, and reports back. Unlike a traditional program that follows fixed rules, an agent can handle inputs that vary, an email worded differently every time, an invoice in a new format, a client question nobody scripted, and still produce a measurable outcome.

Agents work best when the job is repeatable, the inputs vary, and success can be measured.

Client-facing agents

Support agents that read from your knowledge base and ticketing system. Sales agents that qualify leads against your CRM rules and book meetings. Voice and chat, with deterministic fallbacks when the model is uncertain.

Internal operations agents

Project status, document drafting, meeting summaries, code review, invoice matching, supplier onboarding. We run this pattern ourselves with Owtoo, our internal AI assistant.

Content and data agents

Product enrichment, catalog cleanup, classification, translation, multi-channel content generation. Our WriteText.ai product is one of these, built for ecommerce.

Workflow and integration agents

Agents sitting between your ERP, CRM, PIM, and ecommerce platform. Reconciling records, triggering actions on threshold events, escalating exceptions to the right person.

Autonomous research and analysis agents

Open-ended work with clear inputs and outputs but unpredictable steps in between. Competitive research, document assembly, multi-source comparisons.

Typical applications include:

• Client service automation
• Lead qualification and follow-up
• Order and invoice processing
• Product data enrichment
• Document processing and classification
• Meeting summaries and reporting
• Data reconciliation between systems
• Exception handling and escalation
• Research and competitive analysis
• Multi-channel content generation

If your team performs the same category of work again and again with varying inputs, an agent can probably help.

Discovery. We define the agent's job in a single sentence, list the systems it has to read from and write to, and agree what success looks like.

Proof of concept. We build the agent against your real data with an evaluation set you can read. You see retrieval accuracy, action accuracy, and where it gets things wrong. By the end of this phase you have a working demo and a clear yes-or-no decision.

Production build. Integration with your systems, authentication, audit logging, error handling, rate limits, fallback paths, and the evaluation harness that catches regressions when models or data change.

Operation. Monitoring, prompt tuning, model upgrades, gradual handover. Or we keep operating it, with reviews against the original success metrics. Your call.

For a single, well-defined AI agent project, you get one agreed price for the whole thing, fixed before work begins.

Large projects typically start with a Project Scoping phase at an agreed, prepaid fixed price. The purpose is to precisely define what will be built and to establish the final price. This ensures full clarity for both you and us before development begins.

AI agents aren't "finished" at launch: models improve, data changes, and new use cases appear.

Send tasks whenever they arise. With Care, everything runs in writing at one fixed monthly price: no estimates to approve, no cost overruns.

Care Plus gives you everything in Care at its own fixed monthly price, plus up to two hours of meetings per month with a Project Manager or any 1902 Software expert (for planning, advice, and technical discussion), up to two ongoing tasks at a time, and up to two developers working on your tasks at the same time.

Care Ultimate is for ongoing engagements, often across multiple systems, that need close collaboration: a fixed price for every task or group of tasks, approved by you before work begins, people with the right expertise added to your project as your needs grow, and meetings with any 1902 Software expert whenever you need them (billed at the going project management rate for the actual time spent).

Read the full details here.

Typical work includes:

• Prompt tuning
• Model upgrades
• New capabilities
• New integrations
• Evaluation improvements
• Monitoring improvements
• Expanding the agent to new workflows
• Ongoing technical support

Many businesses have custom AI agents built by another team or vendor.

We regularly take over existing agents, with an audit first. We review the prompts, the integrations, the evaluation set if there's one, and the operational telemetry. Sometimes the right move is a rebuild. Sometimes it's a few weeks of cleanup. We tell you which.

Code and prompts you own

When we ship, the agent's code, prompts, integrations, and deployment are yours. No proprietary platform you can't leave.

Built on your stack

We integrate with the systems you already run. Your CRM, ERP, ecommerce platform, authentication, data warehouse.

Monitoring from day one

Every agent ships with logs, evaluation tests, and the alerts that tell you when the model starts misbehaving. The system doesn't degrade quietly.

Model-agnostic engineering

We pick the model that fits the project and design the architecture to swap it when a better one ships. You're not locked to a provider.

Our developers, designers, testers, and project managers use modern AI-assisted tools for planning, design, development, and testing. This results in higher quality and faster delivery.

Every solution is still reviewed, tested, and verified by experienced software developers and testers before delivery.

If the task is deterministic. A workflow with five clear if-then branches needs a script, not an agent. The model adds latency and unpredictability for no gain.

If the cost of a wrong answer is very high. Financial transactions, legal commitments, medical decisions. We can build agents in adjacent workflows, but the irreversible step belongs to a human.

If the data isn't there yet. RAG and agents both run on what they can read. If your knowledge base is empty, contradictory, or out of date, fix that first.

Not sure whether an AI agent is right for your business?

We regularly help businesses evaluate use cases, review their data and systems, and plan AI initiatives before development begins. If an agent isn't the right solution, we'll tell you.