Brainic offer
We build AI features, harden pilots, and connect the systems your product depends on. We agree a clear phase, acceptance criteria, and responsibilities for implementation and operations.
AI is our specialty, not a prerequisite for working together. We can also discuss a new product, application, integration, or standalone technical assessment.
Where the engagement can start
01
Situation
You want an AI feature in an existing or new product and need help with design, implementation, or integration.
Outcome
A feature integrated into the product, evaluated on relevant cases, and prepared for a controlled rollout.
02
Situation
The pilot works in demos, but failures, data access, costs, or missing monitoring block real-world use.
Outcome
Behavior checked against relevant cases, fallback paths, cost monitoring, and clear responsibilities for rollout.
03
Situation
Fragile APIs, hard-to-access data, or missing integrations block a feature, application, or business process.
Outcome
A scoped integration or technical improvement, with tests and monitoring. It can be delivered independently of an AI project.
What the release includes
01
Test sets, acceptance criteria, and feedback loops appropriate to the risk and use case.
02
Permissions, data boundaries, guardrails, fallback paths, and human intervention where consequences require it.
03
Tracing, metrics, alerts, cost, and latency visible to the team operating the feature.
04
Documentation, architecture decisions, and a rollout and handover plan for your designated team or partner.
Capabilities used only when they serve the outcome
Getting started
You do not need a complete specification. Where important uncertainties remain, we can start with a standalone technical assessment. If the direction is clear, we define the implementation phase.
01
Discuss the problem, intended users, budget, priorities, and decision-maker. Compare custom development with using an existing solution.
02
Define options, risks, acceptance criteria, and the boundaries of the proposed phase.
03
Build complete workflows and check how they behave in the project systems.
04
Prepare rollout, documentation, and responsibilities for operations and support.
We clarify the goal, decision-maker, and a result we can evaluate. We check access requirements, budget, and delivery capacity before committing. A launched product or an in-house technical team is not required for the first conversation.
We can discuss MVPs, web or mobile apps, websites, integrations without AI, working with your team, and architecture assessments. Engagements can be scoped projects, implementation support, or technical consulting. We agree what we can take on based on the goal and available capacity.
First step
Describe the problem and what you would like to change. You do not need to choose the technology or define the whole project first.
