Ready Agents
Every agent is an operational role with a clear scope, deliverables, and human-in-the-loop control. Start with a Pilot Launch (2 weeks).
AI Agent
Triage of inbound requests, routing to ticket/email/CRM, rules-based escalation.
intake + CRM
AI Agent
Lead intake and classification, prioritization, next steps for the sales manager, CRM updates.
lead intake
AI Agent
Hiring: CV screening, EN/UA plans, transcription, dual scoring, debrief packages, multi-manager pipelines.
HR requests
AI Agent
Task collection from channels, priorities, follow-up, operational summary for managers.
ops coordination
AI Agent
Data analysis, models, visualisations, and insights for management decisions — without an internal analytics backlog.
analytics and reporting
AI Agent
Requirements gathering, process modelling, technical specs, and risk analysis before development.
business requirements
AI Agent
Test cases, regression, automation, and defect reports — so releases do not break critical paths.
release quality
AI Agent
Full-stack development in any programming language and for any environment — cloud, on-prem, SaaS, mobile, and web stacks.
full-stack delivery
AI Agent
CI/CD, deployment, monitoring, and infrastructure optimisation — stable releases with less manual toil.
CI/CD and DevOps
AI Agent
Calendars, meetings, correspondence, and executive admin support — 24/7 without lost details.
executive office
AI Agent
Document routing, approval statuses, registers, and freshness control — order in paper and digital flow.
document flow
In discovery we'll pick one process and pilot KPIs — usually Support intake or Sales intake for SMBs.
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