Seven agents, seven very different problems — legal, HR, sales, lending, recruiting, innovation, and voice. Here's how each one works.
Mike handles the parts of legal work that eat a lawyer's week without needing a lawyer's judgment on every line: document review, first-pass research, and the routine workflows that repeat across every matter. Instead of a junior associate spending hours flagging clauses, Mike surfaces what matters and hands it back for a final human read.
Mia runs the full employee lifecycle end to end — generating job posts, shortlisting candidates by skills match, scheduling interviews through Outlook, drafting offer letters from approved templates, and kicking off onboarding across Infrastructure, HR, and Admin the moment an offer is accepted. Employees talk to Mia directly in Microsoft Teams for leave, payslips, insurance, and dependents, right through to a clean, structured offboarding.
SalesLoop keeps pipelines full without a BDM babysitting a spreadsheet. It pulls leads from ZoomInfo, scores them hot, warm, or cold, and automates targeted outreach — while a parallel intelligence layer reads Google Ads interactions and call transcripts for intent and sentiment, routing hot leads straight to the right regional BDM through a live Teams chat interface.
Drop in a new product idea and Idea2SKU takes it the rest of the way: scraping real-time competitor SKUs on price, pack size, flavor, and ratings, generating three AI-enhanced product versions, and routing the chosen one through Product, Marketing, Sales, and Production for review. Once a Product Manager approves it, the agent publishes it straight to the product page and notifies every stakeholder with a go-to-market checklist.
LoanIQ turns a stack of documents — ID, address proof, salary slips, credit history — into an instant lending decision. It assesses eligibility straight from the uploaded files, calculates the maximum loan amount with a suggested repayment tenure, and lets loan officers query the knowledge base directly for clarifications instead of digging back through the file.
Built on Automation Anywhere, Scout takes over sourcing and screening where manual pagination limits used to cause the best candidates to fall through the cracks. It fetches profiles against skills, location, CTC, and notice period filters, scores each one 1–10, and recommends shortlist, keep-in-pool, or reject — with a fair "rate" suggestion based on a 30–40% hike logic, so HR prices offers consistently instead of by gut feel.
Kate gives customers someone to actually talk to. Speech-to-text and text-to-speech wrap around an LLM reasoning core, connected live to a backend ERP so the agent can resolve finance queries, look up real account data, and raise a ticket the moment it hits something it can't answer — all over a standard inbound or outbound phone call, powered by Twilio telephony under the hood.
Tell us what's slow, manual, or stuck in spreadsheets — we'll show you what it looks like automated.
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