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AI proposes actions, humans approve exceptions, shared workspaces, copilot and autonomous modes.
AI proposes actions, humans approve exceptions, shared workspaces, copilot and autonomous modes.
Each pillar can be enabled, configured and audited independently.
Copilot, supervised, autonomous.
Humans & agents side-by-side.
Suggested actions you confirm.
See why before you accept.
Every claim backed by a source.
Diffs and rationale for reviewers.
Not autopilot, not copilot — partnership. Agents propose, humans decide; humans direct, agents execute; both review, both improve.
Humans and agents see the same artifacts, same context, same history — a single workspace per workflow.
Either party can hand the workflow to the other with explicit context. No state lost in transition.
Agents suggest actions; humans accept, modify or reject. Override patterns feed back into autonomy thresholds.
Once trust is established, agents operate autonomously within scope while humans monitor exceptions.
Outcomes are reviewed jointly — what worked, what didn't, what to change.
Real numbers from production deployments — across banking, healthcare, telco, manufacturing and the public sector.
Start with the agent suggesting next actions. As trust grows and metrics confirm, expand the agent's autonomous scope — without rebuilding the workflow.
Senior people spend their time on judgment-heavy exceptions and design changes — not on the routine work agents handle natively.
Six concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector, energy and manufacturing.
Agents draft client communications, analyse portfolios and surface action items; RMs review and send.
Underwriters see agent-generated quotes and risk packs, with the option to accept, modify or override.
Agents draft notes, code visits, and queue prior-auth requests; clinicians review and sign.
Agents handle the conversation; humans tap in when sentiment, complexity or risk crosses a line.
Agents pre-fill determinations and surface precedent; caseworkers approve, modify or escalate.
Agents triage deviations and propose root cause; engineers validate and act.
The interesting work isn't 'AI replaces humans' or 'AI assists humans'. It's a re-designed workflow where both contribute their strengths.
Yes — most customers do exactly that, per workflow.
Yes — chain-of-thought and citations are first-class UX.
Most customers adopt new capabilities in 2-4 weeks through starter packs and onboarding workshops.
No. The capability runs on your existing xyner deployment — cloud, hybrid, on-prem or sovereign.
Yes — our customer success team and partners deliver guided migrations and pilots.
See xyner in your environment with a guided executive demo.