Custom Solutions

Scope a custom portal, integration, dashboard, or AI-enabled system around the first workflow that proves the larger platform is worth building.

Scope a custom solution sprint

Key Features

Fixed-scope first releases for messy operational problems
Custom portals, dashboards, internal tools, and integrations
Data and API design matched to real user workflows
Cloud architecture with monitoring and handoff needs considered
Expansion paths only after the first release proves useful

Proof and resources for custom AI systems

Custom software earns trust when the first release has owned facts, source boundaries, review paths, receipts, and rollback. These resources help turn a bespoke AI idea into a maintainable production artifact.

worksheetAI implementation path decision matrixUse this before custom work to confirm why the workflow needs implementation support instead of SaaS, DIY, or a narrow contractor handoff.guideModel Facts RegisterUse this production-readiness artifact when a custom AI system depends on model availability, quota, retention, SDK behavior, and fallback rules.guideAnalytics Agent Source-of-Truth RegisterUse this when a custom reporting tool or agent-assisted dashboard needs owned metrics, freshness rules, and review triggers.guideAI pilot proof packetDefine the evidence a first custom AI release must leave behind before the team expands it.worksheetAI workflow rollback planName who can stop a bad run, what gets restored, and how the correction is recorded.

Assessment artifact

Bring a production-readiness brief

Bring the first release scope, model or data dependencies, source systems, owner, fallback/rollback expectations, and what evidence would prove the custom system is safe enough to expand. The assessment should produce a narrow build path and the artifacts that keep it maintainable.

Is this the right path?

Decision-stage guidance for teams comparing options and choosing the first practical engagement.

Who this is for

For businesses with a real operational problem that does not fit neatly into a standard website, automation, or content package. This includes custom portals, internal tools, API integrations, data workflows, cloud infrastructure, mobile/web apps, dashboards, and AI-enabled systems that need to match how the business actually works.

Where teams get stuck

The team has outgrown spreadsheets, patched-together tools, or vendor limitations.
The problem crosses multiple systems, so no off-the-shelf product solves it cleanly.
A previous build became fragile, expensive, or hard to maintain.
Leaders need a fixed first scope before approving a larger platform investment.

What the first engagement looks like

We define the problem, users, data sources, must-have workflows, risk areas, and first useful release. BaristaLabs then recommends the smallest build that proves the system can work in the business: often a focused portal, integration, dashboard, or workflow layer before expanding into a larger platform.

Proof / outcome

BaristaLabs has delivered custom systems ranging from the CartWheels transportation platform to a zero-downtime AKS remediation for a national certification board, combining practical delivery with the technical depth to solve the messy parts behind the scenes.

Next step

Bring the workflow, system gap, or product idea. We'll turn it into a first-release scope you can evaluate.

Scope a custom solution sprint

Likely build stack

Cloud platformsAPIsDatabasesCustom apps

Who this is for

Where teams get stuck

The team has outgrown spreadsheets, patched-together tools, or vendor limitations.

The problem crosses multiple systems, so no off-the-shelf product solves it cleanly.

A previous build became fragile, expensive, or hard to maintain.

Leaders need a fixed first scope before approving a larger platform investment.

What the first engagement looks like