Selected work

Systems built for the work that cannot wait.

Proof from production systems—without client-sensitive details, source code, or confidential metrics.

After-hours support triage

Challenge: After-hours calls and voicemails required manual review, creating delay and unnecessary noise for the support team.
What we built: A voice-AI triage workflow that processed call recordings and transcripts, identified caller intent, filtered spam, created tickets, and delivered the relevant context to the team.
Operational result: Manual voicemail review and intake were eliminated, allowing the team to begin with organized, actionable information.

Challenge: Invoice processing relied on manual email and PDF handling, document review, and approval coordination.
What we built: A document-intelligence workflow that extracted vendor, invoice, and amount data from incoming emails and PDFs, prepared documents for review, and routed the process through the team’s existing Microsoft tools.
Operational result: A formerly manual accounts-payable workflow became a connected, repeatable approval process.

Challenge: New website leads needed qualification and fast routing to the sales team.
What we built: A conversational AI intake experience connected directly to the CRM, gathering context from prospective customers and creating qualified lead records in real time.
Operational result: The sales team received structured, qualified information without manually transferring web-conversation details into the CRM.

Challenge: Call, email, and agent data was fragmented, requiring manual reporting and leaving managers without timely operational visibility.
What we built: Automated data pipelines and a reporting layer that centralized contact-center activity, added reconciliation checks and alerts, and made key queue and agent information available close to real time.
Operational result: Managers gained faster visibility into operational performance while reducing manual reporting work.