Where AI actually helps
We focus on clear business outcomes over hype. That often means augmenting your team, not replacing it.
Smart support
AI‑assisted support that drafts replies, surfaces relevant knowledge and routes tickets.
Internal copilots
Chat interfaces on top of your documentation, CRM or SOPs so your team finds answers faster.
Workflow automation
Glue together tools (Slack, Notion, CRMs, ERPs) with intelligent triggers and approvals.
Story
Cutting ticket resolution time by 40% with an internal AI copilot.
A B2B SaaS company had a strong support team but an overloaded knowledge base. New agents spent too long searching for the right answers or escalating simple issues.
We built an internal copilot that connected to their docs, past tickets and product changelogs. It suggested reply drafts, linked relevant articles and highlighted similar resolved tickets.
Agents stayed in control, but with better context and faster first responses. Resolution time dropped, CSAT went up and new hires ramped much faster.
Safe and maintainable by design
We treat AI components like any other production system: with clear boundaries, observability and safeguards.
- • Access controls and audit trails where needed.
- • Clear fallback paths when models are uncertain.
- • Monitoring around cost, latency and quality.
How we start
- 1. Discovery. Identify high‑leverage tasks and constraints (data, tools, compliance).
- 2. Prototype. Build a small, safe pilot focused on one team or workflow.
- 3. Measure. Track impact and refine prompts, UX and guardrails.
- 4. Scale. Extend to more teams and processes once value is proven.