We don't automate documented processes.
We transform real processes.
We leverage bleeding-edge AI models and years of experience. See how businesses are optimizing critical legacy processes and transforming the value they create.
Synthesize 30 discovery calls into product insights your team can actually act on
From recorded customer interviews to structured insights in Productboard
The product team records 30 customer discovery calls over three weeks. The agent processes each recording, extracts verbatim quotes by theme, identifies pain points by customer segment, and maps customer language against the current product roadmap — flagging where the roadmap addresses what customers describe and where it's missing what they're actually asking for. The synthesis is a structured brief, not a transcript dump, with each insight linked to the source clip. Findings are pushed directly into Productboard as tagged notes with customer segment and urgency labels, so PMs can start voting and prioritizing without reformatting anything.
- The brief maps customer language against your actual roadmap. Where customers are describing a problem you're not planning to solve, that's called out explicitly — not buried in 90 pages of quotes.
- Insights land in Productboard as tagged notes linked to source clips. The team doesn't reprocess a document — they open their existing tool and see the research already structured.
Deliver accurate weekly reports on time without anyone pulling the data
From three data sources to a formatted report, every week, without anyone pulling it
Every Monday the operations team needs a performance report combining data from the ERP, the CRM, and a logistics platform that exports a CSV. Someone has to pull the files, merge them, apply the business logic, format the output, and send it to eleven people before the 9am standup. The agent does it automatically — connecting directly to each source, running the calculations, and delivering a report that compares this week to the prior four and flags anything that moved outside the threshold. The finished report is posted to #ops-reporting in Slack before anyone asks for it. If a data source is down or returns unexpected values, the gap is noted in the report rather than silently omitted.
- A 3% dip is noise. A 3% dip for the fourth consecutive week is a trend. The agent tracks every prior period and flags patterns, not just point-in-time variances.
- If a data source is down or returns unexpected values, the gap is noted in the report. Silently omitting data is how reporting loses trust.
Evaluate vendors on equal terms and choose with confidence
From five vendor proposals in five different formats to a scored recommendation brief
The procurement team is evaluating five data analytics platforms. Each vendor submitted differently: one a 12-slide deck, one an 80-page technical spec, one a pricing sheet with a covering email. The agent reads all five and normalizes pricing to a common unit — per seat per month, fully loaded — then builds a single comparison matrix covering capabilities, SLAs, and support tiers. It also flags risk terms buried in the fine print: auto-renewal clauses, liability caps, data ownership provisions. Procurement adds the relationship context. The agent writes the recommendation brief and posts it to #procurement in Slack for the team's review.
- Comparing a per-seat subscription to a per-transaction model to a flat annual fee is apples-to-oranges by design. The agent converts everything to a common unit so you're evaluating cost, not doing accounting.
- The risk flags come from the fine print: auto-renewal clauses, liability caps, data ownership terms. The language your team doesn't always have time to read closely.
Accelerate building permit application processing
From a stack of permit applications to a compliant review queue, cleared in days
A municipal planning department receives 80 to 120 permit applications a week for residential construction and renovation projects. The agent reads each submission and checks it against the current building code, the zoning ordinance, and the applicant's stated project description. Complete applications go to the approval queue with a project summary. Incomplete ones get a deficiency notice naming the specific code section and exactly what's missing. Plan reviewers start from a queue of actionable files, not a pile of paper.
- When a new ordinance takes effect, the agent applies it from day one. No one has to remember to update the intake checklist.
- Applicants who get a specific deficiency notice fix the right thing and resubmit once. Applicants who get a generic rejection letter resubmit three times and call the office twice.
Submit RFP responses that are compliant from the first draft
From a 1,800-page federal RFP to a submission-ready proposal
A 1,800-page federal RFP lands on a Friday. The agent reads every section, extracts every requirement, and checks each one against the firm's past proposals and knowledge base. Where a requirement matches something the firm has won before, it reuses the proven response language. Where it doesn't, it flags the gap so writers know exactly where to focus. The team handles win themes, pricing, and executive framing. Before submission, the agent rebuilds the compliance matrix against the final draft to confirm every requirement is addressed and nothing slipped through in edits.
- When a requirement matches something you've won before, the agent reuses the proven language. When it doesn't, it flags the gap so your writers know exactly where to focus.
- The compliance matrix isn't a one-time deliverable. The agent rebuilds it against the final draft before submission, so no requirement slips through in the editing process.
Accelerate insurance claims from submission to determination
From claim submission to determination letter
A homeowner files a water damage claim. The agent reads the claim form, the policy, and every supporting document — photos, contractor estimates, weather records. It maps each element to the relevant policy clauses and drafts the coverage determination. Conflicting evidence — a repair estimate dated before the reported incident, photo metadata that doesn't match the claimed timeline — gets flagged before the adjuster touches the file. The adjuster makes the judgment calls. The agent writes the determination letter and checks it against the regulatory requirements for the filing jurisdiction.
- Conflicting evidence doesn't slip through. If a repair estimate is dated before the reported incident, or photo metadata doesn't line up with the claimed timeline, the agent calls it out.
- Response timelines, disclosure requirements, and appeal language vary by state. The regulatory compliance check adapts automatically to the jurisdiction of each filing.
Get every new hire day-one-ready without manual coordination
From offer letter to a day-one-ready employee file
A new senior engineer joins the platform team on Monday. The agent builds the full onboarding packet from the handbook, benefits catalog, IT checklist, and org chart — pre-populating every form and generating a role-specific setup list: GitHub org access, VPN token, dev environment credentials, security training. HR assigns the buddy and adjusts the training schedule. The agent tracks every outstanding signature and overdue item daily until the file is complete.
- An engineering hire gets GitHub access and a VPN token. A sales hire gets CRM credentials and a phone line. The setup list is built from the role, not from a generic template.
- HR doesn't chase signatures. The agent flags what's outstanding and who owns it, every day, until it's signed and done.
Accelerate invoice approval and eliminate overpayments
From a stack of invoices to approved or flagged in minutes
The accounts payable team processes over 300 vendor invoices a month. The agent matches each one against the purchase order, the master service agreement, and the expense policy before it reaches an approver. Clean matches go to auto-approval. Invoices that are over budget, missing a PO, or flagged as a potential duplicate get routed into NetSuite with a specific reason attached — not "flagged for review," but the exact policy clause and what it prohibits. The finance team opens a queue of exceptions, not a pile of PDFs.
- Duplicate invoices don't always have duplicate invoice numbers. Same vendor, same amount, same date range, different formatting or number: that's a common source of overpayment that manual review misses at volume.
- Every policy flag includes the citation. Not "flagged for review" — specifically: "Exceeds $500 meal limit per Policy 4.2.1." Your approvers know exactly what they're deciding.