We use your existing knowledge base to make an LLM of your choice (OpenAI, Azure OpenAI, Anthropic, etc.) reliably “know” your business—without guessing. Practically, that means we connect to your documents and systems (SharePoint, Confluence, Google Drive, Notion, CRM, ticketing tools), clean and structure the content, build the retrieval layer, and deliver it as a chat, search, or embedded copilot with citations, permissions, and quality controls. We also set up evaluation and monitoring so answers stay accurate as content changes.

What it enables for the business:

• Sales enablement agent: keeps reps up to date on product info, pricing logic, case studies, battlecards, and playbooks—usable in the field, during calls, and right inside CRM.

• Customer support copilot/bot: resolves common requests instantly, drafts replies, and escalates edge cases with context—reducing ticket volume and cost-to-serve without sacrificing quality.

• Internal knowledge assistant: faster onboarding, fewer “where do I find…” questions, and less dependency on a few key people.

We automate end-to-end workflows by combining AI with your existing tools and processes—not just generating text. We map the workflow, connect to the systems that matter (CRM, ERP, service desk, email, Slack/Teams, document tools), and build automations that can classify, extract, summarize, decide, and trigger actions. Where needed, we add human-in-the-loop steps (approvals, confidence thresholds, exception handling) so you keep control.

What it enables for the business:

• Operations automation: route requests, validate data, generate documents, and update systems automatically—cutting cycle time and manual effort.

• Sales & revenue workflows: qualify inbound leads, draft proposals, generate account briefs, log activities, and create follow-ups—boosting rep productivity.

• Service workflows: summarize tickets, suggest next steps, auto-create KB articles, and trigger escalations—improving response times and consistency.

We design and build modern web, mobile, and cloud applications end to end—customer-facing products, internal platforms, portals, and integrations. We start with the business goal and user journey, translate that into a clean product scope, and deliver in fast iterations with a strong engineering foundation (security, performance, observability, scalable architecture). AI features can be embedded where they add value—search, assistants, recommendations, forecasting, intelligent forms, document processing, and automation.

What it enables for the business:

• Faster time-to-market: ship new products and capabilities without legacy constraints.

• Better user experience and adoption: software people actually want to use.

• Scalable foundations: platforms that handle growth, new regions, new teams, and new features without rework.

We help you choose the right AI opportunities and implement them in a way that sticks. That includes identifying high-ROI use cases, defining success metrics, selecting the right architecture and tooling, setting up governance (data access, security, compliance), and planning adoption (process updates, training, rollout). If you already have pilots, we help you industrialize them into production-grade solutions.

What it enables for the business:

• A clear AI roadmap: prioritized use cases tied to measurable outcomes.

• Reduced risk: guardrails, governance, and security from day one.

• Real adoption: change management so teams trust the system and use it daily—turning “AI experiments” into business impact.