Explore a recorded build and the architecture behind our example systems. Each entry identifies its scope as a demo or prototype.
Follow a candidate CSV through role requirements, supporting evidence, human review, and outreach preparation. The walkthrough explains the demonstrated workflow, optional AI reasoning, and the work needed before a production rollout.
Lead information arrives through several channels and requires repeated manual research and CRM updates.
Sales staff copy lead data, search multiple sources, decide priority, draft follow-ups, and update reports.
A controlled pipeline captures, enriches, scores, routes, and prepares each opportunity for human review.
CRM, email, enrichment providers, calendar, reporting database.
A salesperson approves outreach and can override qualification before any message is sent.
Least-privilege access, encrypted credentials, audit events, configurable retention.
Completion rate, routing accuracy, CRM data quality, time from capture to reviewed opportunity.
Agents repeatedly search for answers while difficult cases are inconsistently routed.
Agents search a knowledge base, draft replies, ask teammates, tag tickets, and report issues manually.
A support layer retrieves grounded knowledge, drafts a cited response, detects risk, and routes exceptions.
Help desk, knowledge base, identity provider, issue tracker, analytics.
Agents always review customer-facing messages; sensitive or uncertain cases escalate automatically.
Role-based retrieval, source-level permissions, PII minimization, quality evaluation logs.
Grounding quality, correct escalation, agent acceptance rate, recurring issue visibility.
Important information is manually copied from inconsistent documents into downstream systems.
Staff open files, interpret fields, validate values, chase missing details, then re-enter approved data.
A document pipeline extracts, validates, flags uncertainty, requests review, and syncs clean records.
Document storage, OCR, line-of-business database, notifications, downstream APIs.
Low-confidence fields, policy exceptions, and final submissions require an authorized reviewer.
Private object storage, file scanning, access controls, retention rules, minimal processing logs.
Field validation rate, exception quality, reviewer completion, downstream record integrity.
Recurring work is coordinated through inboxes, spreadsheets, and individual memory.
Operators monitor triggers, create tasks, chase approvals, update trackers, and compile reports.
A central system coordinates tasks, decisions, alerts, exceptions, and operating metrics.
Task management, messaging, databases, finance tools, internal APIs.
Owners review financial, compliance, and irreversible actions before execution.
Segregated roles, append-only audit trail, scoped connectors, monitored system actions.
Workflow completion, exception resolution, approval traceability, data consistency.
