Agentic AI development services, from idea to production.
An embedded AI product engineering team that turns your problem statement or product idea into a custom-built, production-grade AI solution. Designed, engineered, deployed and run by Kroolo.
The AI gap isn't ideas. It's delivery.
The gap between a promising demo and a governed, production AI product is where most initiatives stall.
Proofs of concept impress in the demo, then stall before production. No one owns the last mile of integration, security and adoption.
Agentic architects, LLM specialists and AI QA engineers are hard to hire and harder to retain as a single in-house team.
Copilot, Dynamics 365, Fabric, Bedrock, Vertex, Salesforce: the capability exists, but stitching it to your data and processes does not.
Regulated teams can't ship AI that isn't cited, permission-aware, auditable and deployable inside their own environment.
Your embedded AI product engineering team.
Strategy, engineering, platforms and operations under one roof, with Kroolo's own AI products as the accelerator.
We start from the business problem and success criteria, and stay accountable for the result, not just the code.
Enterprise integration, evaluation, guardrails and security are part of the build, not bolted on after the demo.
Deep expertise across Microsoft, AWS, Google Cloud, Salesforce, SAP and ServiceNow. We build on what you already own.
Managed service, LLMOps and continuous optimisation keep your AI accurate, cost-efficient and current.
One accountable AI partner, across the full lifecycle.
Engage one service line or the full lifecycle. Every line plugs into the same engineering squad and governance model.
Find the AI bets worth making, and the order to make them in.
From problem statement to production, in five steps.
A simple, transparent path from idea to a live AI product in weeks.
Tell us the problem statement, product idea or use case.
Discovery call, assessment of data and systems, success criteria.
Solution architecture and a working proof of value on your data.
Full-stack squad builds, tests and deploys into your environment.
Managed service: monitoring, enhancements, optimisation.
An AI lifecycle embedded in your enterprise transformation journey.
Build, operate and manage: one continuous lifecycle, not a one-off project.
Governed at every gate, not reviewed at the end.
Every engagement runs through explicit gates with success criteria agreed with your stakeholders, so risk and compliance teams are in the room from day one.
Success criteria, ROI model and risk tier agreed before any build starts.
Architecture, data access and AI governance approved by your risk team.
Accuracy benchmark, hallucination tests and red-teaming against your criteria.
Guardrails, identity, audit trail and rollback plan verified for go-live.
AI governance aligned to EU AI Act, NIST AI RMF and ISO/IEC 42001
PII redaction, prompt-injection defence and output filtering
Red-teaming and hallucination testing before and after go-live
Entra ID, Purview and role-based access
Private and sovereign deployments in your cloud or on-premise
Human approval steps and a full audit trail on every automated decision
Built and governed by a full-stack AI engineering team.
Every engagement is staffed from one bench of specialists, scaled up or down as your roadmap evolves. One squad covers strategy, engineering, QA, security and operations, with no hand-offs between vendors.
Design multi-agent systems, integrations and target architecture
Model selection, fine-tuning, prompt and retrieval design
Build the product end to end: UI, APIs, agents and pipelines
Pipelines, lakehouses, knowledge graphs and data quality
Infrastructure-as-code, CI/CD and scalable deployments
Guardrails, identity, encryption and compliance controls
Evaluation suites, red-teaming and regression testing
Discovery, PoV delivery and business-to-tech translation
We run what we build.
Managed AI Services keep your AI accurate, affordable and current after go-live.
Models, agents and pipelines are watched against agreed service levels.
Prompt and version management, cost and latency optimisation.
Drift detection and retraining keep answers accurate as data changes.
New models and features adopted as the ecosystem moves.
A dedicated team, plus training for business and IT.
Cloud-agnostic by design. Fluent in the platforms you already run.
We follow your architecture, data residency and procurement choices, not ours.
Microsoft 365 CopilotCopilot Studio
Teams
SharePoint
Outlook / Graph APIViva
D365 SalesD365 Customer ServiceD365 Field ServiceD365 FinanceD365 Supply ChainBusiness CentralPower AppsPower AutomateDataverse
Microsoft FabricOneLake
Power BI + CopilotAzure Data FactoryAzure Synapse
Azure DatabricksCosmos DB
HubSpot
Zendesk
Jira / Confluence
SlackTwilioHugging FaceMeta LlamaMistralUiPathn8nHubSpotZendeskJira / ConfluenceSlackTwilioHugging FaceMeta LlamaMistralWe don't start from a blank page. We start from our own products.
Kroolo's platforms and reusable assets shorten delivery and de-risk every build.
Connected enterprise intelligence: parsing, entity resolution, knowledge graph and natural-language querying.
AI-first work and project management with agents and workflows. Our foundation for operational copilots and automation.
Pre-built connectors, tool definitions, prompt templates and MCP servers for common enterprise systems.
Reusable PII redaction, injection defence, evaluation datasets and scoring harnesses by use-case type.
Pre-validated landing zones on Azure, AWS and Google Cloud, including private and sovereign options.
Calculators and benchmarks that tie every use case to measurable business outcomes before build.
The tech stack behind every build.
A modern, production-grade stack. Selection is use-case driven and adapted to your environment, data residency and compliance needs.
Start small, prove value, then scale.
Four commercial entry points. Every engagement can graduate into the next. Durations are indicative and confirmed after discovery.
For teams with many ideas and no clear first bet.
For validating accuracy and feasibility on your real data.
Fixed-scope delivery of a production AI product.
A dedicated team that runs and expands your AI portfolio.
Reference patterns we adapt to your data and compliance needs.
Each pattern is scoped to your systems, data and regulatory requirements before build.
Enterprise-grade by design. Accountable for outcomes.
What regulated and fast-moving enterprises get when they build AI with us.
We scope to a business outcome and measurable success criteria, not a technology.
Kroolo Search and Kroolo Work accelerate every build and reduce risk.
Microsoft, AWS, Google, Salesforce, SAP: we build on what you already own.
Deploy in your tenant or on-premise, with data residency and private model options.
Production builds in 7 to 18 weeks through a proven five-step engagement model.
Managed service, LLMOps and a dedicated CoE keep the value compounding.
FAQs on Kroolo AI as a Service
Bring us your problem statement. We'll build the AI product.
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