Custom AI products handle the work that is specific to your business
Some operational work does not match a packaged tool, because the steps depend on your documents, your rules and the systems you already run. A custom AI product is software built for that work. It reads the inputs, applies your rules, takes the next step in your systems and passes the case to a person when it falls outside those rules.
AI agent development is part of this service. An agent is a program that uses an AI model to interpret a request, decide the next step within limits you set, and call other systems through their APIs.
The service covers:
- Custom AI model development: selecting and adapting a model for a task such as classification, extraction or scoring, using your own data.
- AI system integration: connecting the product to the tools your team already uses.
- Scalable AI infrastructure: hosting set up so capacity can be added as usage grows.
- Performance monitoring: tracking how the product behaves in production against the agreed KPIs.
Custom AI applications fit workflows with many steps, documents and handoffs
Good candidates repeat often, follow rules a person can explain, and touch several systems. Examples of workflows that fit:
- Invoice intake: read the PDF, match it to a purchase order in the accounting system, route exceptions for approval.
- Internal knowledge assistant: answer staff questions from your policies, manuals and past tickets, and point to the source document.
- Contract and application review: extract key terms, check them against your rules, flag the items a person needs to read.
- Quote preparation: pull customer details from the CRM, draft the quote from your pricing rules, send it to a manager for sign-off.
- Support triage: classify new helpdesk tickets, draft a reply, escalate to the right team.
Beagle designs the product before writing code, then builds it in sprints
Custom AI applications and AI agent development follow the same steps as every Beagle engagement. Your IT team is involved for access and permissions.
- Discovery call (15 minutes, free): we map your current operations, and you leave with a prioritized list of AI use cases. No pitch.
- Solution design (1 to 2 weeks): a modular implementation plan. Data flows, integration points, KPIs and success criteria are defined before code is written, with sign-off at every stage.
- Build and deploy (2 to 6 weeks): iterative sprints, with QA on each workflow before production. Beagle handles infrastructure, security configuration and staff onboarding.
- Optimize and evolve (ongoing): the product is monitored against the agreed KPIs and iterated on real usage data.
You own the system and the data, on an open, self-hosted stack
Custom AI products from Beagle run on an open, self-hosted stack: n8n for workflows, open-source AI models and Supabase for data. That means full data ownership, no vendor lock-in and no black boxes. If required, the solution can be deployed inside your own cloud environment.
The architecture is modular. Adding voice agents, new integrations or more automations later does not require starting over.
Success is measured against KPIs agreed before the build starts
KPIs and success criteria are defined during solution design, before code is written. Examples include how many items the product handles without a handoff, how often a person corrects its output, or how long a request waits.
After launch, performance monitoring tracks the product against those KPIs, and Beagle iterates on real usage data.
Start with a 15-minute discovery call or a 2-minute readiness assessment
Book a free 15-minute discovery call to talk through your operations. To start on your own, take the free AI readiness assessment: 5 questions, about 2 minutes, no sign-up, with an instant score and diagnostics.
You can also request the free AI Implementation Guide. It is personalized and emailed to you, with three quick wins for the next 30 days and a 90-day roadmap.
Questions buyers ask
Do we need in-house AI engineers?
No. Beagle acts as your AI team and handles strategy, build, deployment and ongoing support. We involve your IT team for access and permissions.
Where does our data live?
Data is stored in Supabase as part of an open, self-hosted stack, and you keep full ownership of it. If required, the whole solution can be deployed inside your own cloud environment.
How long until it is live?
After the discovery call, solution design runs 1 to 2 weeks and build and deploy runs 2 to 6 weeks. Each workflow goes through QA before it reaches production.
Can it work with the tools we already use?
AI system integration is part of the service. Integration points are defined during solution design, then built through APIs and n8n. Typical targets are tool categories such as a CRM, helpdesk, calendar, accounting system or phone system. Whether a specific tool can connect is confirmed during solution design.