Workflow-embedded UX
Copilots inside the tools people already use — CRM, IDE, service desk, office suite — not another tab.
Featured Solution
Context-Aware Enterprise Copilots
Embed copilots into the tools your teams already use — with enterprise context, permissions, and measurable productivity gains.
- 30–50%time saved on target workflows
- 85%+weekly active adoption achievable
- 0data leaks — permissions enforced at query time
Capabilities
Copilots employees actually adopt
Ship copilots that enhance productivity across support, sales, engineering, and operations teams.
Enterprise knowledge grounding
Answers grounded in your documents, data and policies, with citations and permission-aware retrieval.
Action capabilities
Beyond answers: drafting, updating records, filing tickets and kicking off workflows — with approvals.
Adoption and measurement
Usage analytics, satisfaction tracking and ROI measurement built in from launch.
How it works
Assistance where the work happens
Generic chatbots get ignored. Copilots that know the user's context, data and next task become indispensable.
In the flow
Built into the tools your teams live in
We embed copilots into Salesforce, Teams, Slack, your service desk or your own product — aware of the record on screen, the user's role and what they're trying to do.
- Context from the current page, record and conversation
- One-click actions: draft, summarize, update, escalate
- Same copilot brain across surfaces — web, mobile, chat
Copilot
Draft renewal summary for Acme Corp
3 accounts show churn risk — view analysis
Ask anything…
Grounded answers
Your policies, your data, your permissions
Retrieval across wikis, drives, tickets and databases with the user's access rights enforced at query time. Answers cite sources, and 'I don't know' beats a confident guess.
- Permission-aware retrieval across all knowledge sources
- Citations on every answer, freshness on every index
- Confidence thresholds that route to a human when low
DocsCRMWiki
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Answer with citationsscoped to the user's permissions [1] [2]
Proven value
Adoption you can measure, ROI you can defend
We instrument copilots from day one: who uses them, for what, how often, with what outcome — so the business case is data, not anecdotes.
- Usage, deflection and time-saved dashboards
- Feedback loops that turn thumbs-down into fixes
- Quarterly eval reviews against a golden question set
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Use cases
Where enterprise copilots delivers value
Sales copilot
Account research, meeting prep, call summaries and CRM updates from one prompt.
Support agent assist
Suggested responses, knowledge lookup and case summarization inside the service desk.
Employee helpdesk
HR, IT and policy questions answered instantly with citations — tickets filed when needed.
Engineering copilot
Codebase-aware assistance, runbook lookup and incident context for on-call teams.
Finance copilot
Variance explanations, report drafting and policy checks grounded in your ledgers.
Legal assistant
Clause lookup, first-pass contract review and precedent search with source links.
Delivery
How we build it
We start from the business outcome, then design agents, models, tools and guardrails that can survive production — not just a demo.
- Production-ready architecture
- Secure tool integrations
- Measurable business KPIs
- Operate & improve playbooks
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1
Discover
Map workflows, data, constraints and ROI.
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2
Architect
Define models, tools, memory and trust boundaries.
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3
Build
Ship a production-ready system with evals and observability.
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4
Scale
Optimize cost, quality and adoption across teams.
Adoption was the metric I feared. Eight weeks after launch, 87% of the support team uses it daily — because it lives inside the console and actually knows our product.
Works with your stack
Built on the tools you already run
We integrate with your models, clouds, data platforms and enterprise systems — no rip-and-replace.
- Anthropic Claude
- OpenAI
- Azure AI
- Microsoft 365
- Google Workspace
- Slack
- Teams
- Salesforce
- Zendesk
- ServiceNow
- Elasticsearch
- Pinecone
FAQ
Common questions
Why not just roll out Microsoft Copilot / ChatGPT Enterprise?
General-purpose copilots are useful but shallow on your proprietary workflows and data. We build where they stop: deep grounding in your knowledge, actions in your systems, and UX embedded in your tools. Many clients run both.
How do you prevent the copilot from exposing sensitive data?
Retrieval enforces the user's existing permissions at query time — the copilot can only see what the user can see. Add PII redaction, audit logs and data-residency controls per your compliance needs.
What drives adoption?
Being embedded in existing tools, answering with real citations, and saving time on the first task a user tries. We co-design with pilot users and iterate weekly until the numbers prove stickiness.
How long until launch?
A scoped copilot on one workflow typically pilots in six to eight weeks, including knowledge onboarding, evals and security review.
Can it take actions or only answer questions?
Both. Copilots can draft emails, update records, file tickets and trigger workflows — each action gated by role permissions and, where warranted, human confirmation.
Next step
Give every team an expert assistant
Pick the team drowning in repetitive questions — we'll ship them a copilot they'll actually use.