AI discovery and architecture
Prioritize use cases, assess data readiness, compare solution patterns, document risks, and define measurable acceptance criteria.
Services
Engineering services that connect AI to real systems
Kubto scopes and delivers AI, application, commerce, and infrastructure work around the data, integrations, operating controls, and ownership needed after launch.
Who this is for
Technology, product, ecommerce, and operations teams that need to move a defined use case from assessment into a supportable production environment.
Problem to solve
Promising prototypes often stall because the business outcome, data path, security boundaries, platform dependencies, and operating owner were never resolved together.
Scope
Services organized around the system, not the buzzword
The exact work is confirmed after discovery. Kubto can own a focused workstream or collaborate with an existing product, engineering, security, and operations team.
RAG, agents, and automation
Build retrieval, generation, tool-use, review, and escalation workflows around approved business data and permissions.
Search and recommendations
Design ingestion, retrieval, ranking, merchandising, recommendation, evaluation, and analytics paths for commerce or knowledge.
Cloud and AI infrastructure
Prepare compute, networking, data services, deployment pipelines, observability, resilience, and cost controls for the workload.
Commerce and platform engineering
Integrate AI capabilities with Magento, Adobe Commerce, Shopify, WooCommerce, headless storefronts, and custom applications.
Production improvement
Investigate quality, latency, reliability, cost, indexing, security, and operational issues using evidence from the current system.
Architecture
A delivery path with explicit decision gates
Each stage should produce evidence that supports the next investment decision.
- 01
Assess
Define the user, workflow, baseline, data sources, constraints, owners, and decision that the system must improve.
- 02
Design
Document components, data flow, access boundaries, integrations, failure modes, evaluation, and operating responsibilities.
- 03
Implement
Build a bounded increment with testable acceptance criteria, deployment controls, documentation, and stakeholder review.
- 04
Operate and improve
Measure quality, reliability, adoption, cost, and incidents; assign ownership for tuning and change management.
Deliverables
What the engagement can produce
✓
Readiness and scope brief
A shared definition of the problem, baseline, dependencies, assumptions, risks, exclusions, and success criteria.
✓
Technical blueprint
Architecture, data flows, interfaces, model or service choices, control points, deployment path, and operational ownership.
✓
Working production increment
The agreed application, integration, pipeline, infrastructure, or product configuration with validation against acceptance criteria.
✓
Handoff and improvement plan
Runbooks, monitoring requirements, known limits, backlog, decision log, and ownership for ongoing support.
Boundaries
Boundaries and decisions to verify
Good work is easier to trust when the team knows what is included, what still needs proof, and who owns each decision.
Outcomes require a baseline
Commercial, productivity, quality, and performance goals are set from the customer environment; they are not universal guarantees.
Product and custom work are distinguished
Discovery confirms what can be configured, what requires integration, and what requires custom engineering.
Responsibilities are documented
Cloud, software, model-provider, customer, and Kubto responsibilities are defined in the applicable proposal and contract.
Start with a bounded technical problem
Share the current workflow, platform, data sources, constraints, and outcome. Kubto will help identify the first decision and a practical scope.
Request a scoping conversation