Recover missed demand
Answer, qualify, and capture intent after hours, during campaign spikes, and across high-volume website or phone traffic.
24/7
Talk to salesEnterprise
Deploy AI employees with the control business buyers need.
Plan a focused pilot around one repeat workflow, approved source material, clear tool boundaries, measurable outcomes, and the security review your team expects before rollout.
01Pilot plan
02Security review
03Tool boundaries
04Outcome tracking
Business outcomes
Start where the enterprise value is obvious.
Aivah works best when the first deployment maps to a measurable business moment: missed demand, support triage, onboarding, training, or operational follow-through.Reduce repeat team work
Move common sales, support, onboarding, and training questions into managed AI employees trained on approved source material.
Less manual triageShorten time to response
Give customers a useful first answer immediately, then route context to the right human, tool, or next step.
Instant first responseMake AI measurable
Review conversations, leads, calls, transcripts, quiz results, usage, and workflow performance instead of guessing what happened.
Operational visibilityGoverned rollout
Give every stakeholder a clear answer before launch.
Enterprise adoption depends on more than a good demo. Teams need to understand data scope, tool access, monitoring, human handoff, and the review path before AI employees go live.Data boundaries
Start from approved knowledge sources, define what each AI employee can answer, and keep rollout scope clear.
Permissioned tools
Connect tools intentionally with OAuth, API keys, bearer tokens, custom headers, or scoped MCP servers.
Human handoff
Design the moments where Aivah should collect context, summarize, and route the conversation to your team.
Monitoring and logs
Use conversations, leads, calls, transcriptions, usage, and agent-level insights to review quality and performance.
Security review
Use the enterprise conversation to review data handling, retention, access, procurement, and compliance expectations.
Pilot-first rollout
Launch one contained workflow first, prove the operating model, then expand into more roles and channels.
Pilot path
From one contained pilot to a managed AI workforce.
Map the workflow
Choose one repeat function with clear demand, source material, owners, and a measurable business outcome.
Approve the knowledge
Define trusted documents, URLs, policies, scripts, media, and escalation rules before launch.
Pilot one AI employee
Deploy a focused role to one or two channels so teams can validate quality, safety, and handoff behavior.
Connect tools carefully
Add MCP tools, phone, Slack, WhatsApp, CRM, calendar, or custom workflows once the operating boundary is clear.
Measure and expand
Review outcomes, conversation quality, captured leads, call logs, usage, and team feedback before scaling.