An eighteen-month detour.
Memory that survives across systems, cascade updates, permissions, and audit trails are deep infrastructure. Building them in-house pulls your best engineers off the product that differentiates you.
Most AI handles summaries, lookups, and single tasks. Across is built for the processes that keep going: renewals, product delivery, financial close, and the handoffs around them, with memory, governance, and a person in the loop where it matters.
Our team has built and researched at
Summaries, lookups, single prompts: done. But renewals, the software lifecycle, and the financial close span teams, systems, and time. Across is built for that kind of work.
A task ends in seconds. A process runs for weeks, across systems, policies, approvals, and people. It has to hold its context the whole way.
One-off task
Process record
Order-to-cash process, Invoice #4417
Context carried forward
PO match payment terms credit approval prior exception
47 days in and still running.
The work that moves a business runs across systems and changes over time. This is the work Across is built for.
Select a team to see what the agents do.
Agents that understand financial processes handle payables and reconciliations end to end, with full lineage and human review for the exceptions that matter.
See the payables case study →The regulatory context (data lineage, control logic, policy semantics, audit trails) that makes agentic AI defensible inside a regulated bank: KYC onboarding, alert triage, and SAR drafting, each with the evidence attached.
See the compliance case study →Agents connect requirements, meetings, Jira, and engineering work. An AI teammate runs standups and follow-through, turning scattered feedback and tickets into traceable, prioritized work.
See the case study →Prep renewal and expansion calls with the latest account history, and draft account briefs and follow-ups your reps can send.
“It's like having a strategist embedded in every deal.”
Durable memory, cascade updates, lineage, and governed action are not features you bolt on at the end. They shape the architecture. Teams that try to build the reasoning layer in-house can spend the better part of two years on it before it reaches production work. Governance (permissions, lineage, and audit) is built into the platform.
Memory that survives across systems, cascade updates, permissions, and audit trails are deep infrastructure. Building them in-house pulls your best engineers off the product that differentiates you.
Across deploys the reasoning layer into your environment in days, not quarters, so teams preserve process state instead of rebuilding plumbing.
It runs headless beneath the agents, models, and systems you already use, so there is no rip-and-replace.
How we work
Proof of concept
One real workflow, on your stack.
Pilot
A live team, human in the loop.
Production
Rolled out under your governance.
Bring Across into one workflow where memory matters, review matters, and the next action cannot be guessed from a single prompt: payables, a sprint team, a book of accounts.