Discuss your projectSystems and automation
Integrations and AI-assisted workflows for the information your team moves, checks, and acts on every day.
Illustration of a systems integration built by Baybloom: a CRM, a field application, and accounting kept in sync, with a queue of failed records waiting for review.
Where we can help
Integration
Move information between the tools your business depends on. Define the source of each record, the direction of updates, and the rules that keep data consistent.
Automation
Turn predictable work into a reliable sequence. A request can create a record, route an approval, and trigger a follow-up while keeping exceptions visible.
Applied AI
Use AI where interpretation is useful: extracting information, categorizing documents, or preparing a draft. Evaluate the result against representative inputs before relying on it.
How a reliable integration works
Reliable integrations
A connection is more than an API call. Records can arrive twice, required information can be missing, and an external service can go offline.
We design retries, duplicate handling, and a visible path for unresolved exceptions. The team responsible for the process needs to know which records moved successfully and which need attention.
Read the planning guide
AI with a defined job
“Add AI” is not a delivery scope. Extracting defined fields from a supplier document, with source references and a review step, is a task that can be evaluated.
We define the inputs, expected output, quality checks, and handoff. Rules-based automation handles predictable steps; AI supports the work that benefits from interpretation.
Discuss your workflowWhat we build
Integrations that keep customers, orders, and invoices consistent between the CRM and the accounting platform, with each record updated in one place.
Scheduled or event-driven feeds that collect records from several tools into a reporting database the whole business can query.
Extraction of fields from invoices, forms, and correspondence, with confidence checks and a review queue for anything the model is unsure about.
Rules that start the next step automatically when a record changes, such as creating a job, alerting an approver, or updating a customer.
A place where failed syncs, mismatched records, and rejected documents wait for a person, with the context needed to resolve them.
Custom connectors for older or specialized systems without modern APIs, using supported exports, file transfers, or database access where appropriate.
Scope and price
Every project is priced from a written scope. These are the factors that move it most.
Every additional system adds an API, an authentication method, rate limits, and a data model to learn, map, and test.
Well-documented APIs keep integration work contained, while limited or undocumented interfaces require exports, workarounds, and more testing.
Nightly batch transfers are simpler than near-real-time synchronization, and large volumes add work on performance, retries, and monitoring.
The consequence of an error sets how much evaluation, confidence checking, and human review each AI-assisted step needs before it runs.
Project questions
Decisions worth discussing before committing to a new application.
No. Rules, scheduled jobs, and conventional integrations are often the right tools for predictable work. AI is useful when interpretation or generation adds value and its output can be evaluated.
We inspect the integration options before recommending an approach. Supported exports, scheduled transfers, or a smaller workflow change may be more practical than a fragile connection. Access and vendor constraints shape the scope.
We define the source of truth, validation rules, and reconciliation checks. For AI-assisted steps, we use representative examples and a review process appropriate to the consequence of an error.
Yes. Choose a recurring task with a clear owner and measurable acceptance criteria. Connect it end to end, include failure handling, and evaluate it before expanding.
Failures are expected and designed for. Each connection retries on a set schedule, logs what happened, and sends anything it cannot resolve to an exception queue with enough context for a person to fix it. Alerts reach the right person, and no record is silently dropped or written twice.
We choose models per task, based on accuracy against representative examples, data handling terms, and running cost. The model sits behind a defined interface, so it can be replaced as better options appear, and every output passes through checks and review appropriate to the decision.
Integrations can run in a managed cloud environment, alongside your existing hosting, or within the automation features your systems already provide. We look at security requirements, access, monitoring, and who will support the environment before recommending where each piece should live.
Let’s talk about your business
Bring the workflow, the product idea, or the system your team has outgrown. We’ll show you what we would build and what it would take.
Tell us what you are trying to achieve, what is getting in the way, and what you already have in place.
Discuss your projectPrefer to call? +1 (941) 941-6897