Deploy your first cost-saving AI solution in 4–6 weeks
Timeboxed delivery, working GenAI implementation in your environment.
Stuck with static dashboards, siloed data, or stalled AI pilots? Your competitors aren't waiting. Neither should you. When budgets tighten, organizations need better productivity, not more dashboards. In 4 to 6 weeks, we design, build, and deploy an AI assistant that understands your business, runs securely on your data, and integrates seamlessly into your workflow.
What you get
Timeline
4–6 weeks, including discovery and build
Standard scope
up to 5 data sources/APIs
Deliverables
AI readiness assessment
working prototype
next-steps roadmap
No long-term commitment
you own the pilot; no lock-in
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AI prototype
A domain-aware working AI prototype, delivered in 4 to 6 weeks (fixed scope).
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Verified responses
Answers backed by your own sources – with citations, reducing time spent searching across documents, dashboards and internal systems; an AI layer organizes your docs and data and uses retrieval-augmented generation (RAG) with source referencing, so every answer links back to where it came from.
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Model selection
A model that fits your requirements. We use leading LLMs (ChatGPT, Grok, or approved local models), selected for your accuracy, cost, latency, and data-residency needs.
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System connectors
Direct integration with your systems via REST APIs, MCP servers and secure connectors.
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Scale roadmap
An AI readiness assessment and scale-up roadmap covering architecture, data security and data governance, and following integrations.
Predictable delivery
timeboxed pilot, fixed scope with clear outcomes and measurable productivity improvements
Governance and security by design
OAuth authentication and secure data access, role-based access control, encrypted in transit, and sensitive data governance aligned with ISO, SOC2, and HIPAA requirements
Rapid value
practical productivity gains in weeks, helping teams handle more workload without increasing headcount
Integration-first
built in your environment; wired into your real workflows, not an isolated demo
How it works
Operational efficiency discovery
We start with a discovery call to identify where teams spend the most time gathering information, analyzing data, or navigating fragmented systems, and where efficiency gains and cost reductions are possible.
Build and integrate
Our engineers select the LLM, deploy the MCP server, connect it to your data sources, and design and integrate a lightweight chat UI.
Load your knowledge
An AI layer ingests and organizes your structured and unstructured data, retrieves the right passages when answering, and cites the original sources for traceability.
Delivery and demo
Within 4-6 weeks, you get a working pilot: a domain-aware AI assistant running on your data and wired into a real workflow.
Roadmap to scale
Clear recommendations on optimal architecture for AI scale-up security, governance, and next integrations - so you know exactly how to grow it.
Gains you will see in weeks
Handle growing workloads without adding headcount
Automate knowledge retrieval, document analysis and reporting tasks so teams can focus on higher-value work.
Extract insights and ensure compliance
Automatically ingest and analyze vast amounts of unstructured and semi‑structured data, apply the right standards, and flag issues with source-linked citations.
Break free of rigid UIs
Еnable deep, ad‑hoc analysis via a chat interface that works alongside your enterprise systems; no release cycles required.
Make knowledge instantly self-serve
Layer AI over text‑heavy help centers and portals to deliver quick, actionable answers in the video‑centric, interactive formats users expect.
Streamline complex workflows
Оrchestrate multi‑step processes with AI guidance, reducing custom development time and accelerating decisions.
Who is it for
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Businesses looking to improve operational efficiency
Organizations looking to increase productivity and reduce operational overhead through practical AI deployment
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Organizations under cost pressure
Companies looking to improve productivity and reduce operational workload without launching large transformation programs.
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Companies under pressure to show AI value, now
Stalled PoCs, executive mandates to show AI value this quarter, or looming audits. This pilot provides a low‑risk, high‑impact way to move beyond prototypes and prove value quickly.
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Businesses in regulated industries with strict compliance needs
Whether you're in healthcare and life sciences, financial services, manufacturing, or logistics, this pilot is for you. It's built for any business in a mission-critical vertical that needs to keep its data secure, maintain full control, be compliant, and adhere to industry best practices.
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Businesses struggling with data silos and manual processes
Companies where dashboard sprawl, noisy alerts, and stretched operations are the norm. You need unified, real‑time insights, but lack the self‑serve analytics adoption to get there.
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Security‑conscious firms seeking predictability
You require guardrails for data residency, PII handling, and vendor risk. Our pilot includes baseline security and compliance, with options for deeper assessments as well as audit trail, and policy enforcement.
Equipping a tracking platform for AI
We built a secure, local AI assistant for an aerospace monitoring platform that can answer questions based on thousands of regulatory documents, using .NET and Semantic Kernel.
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