Access Requests with AI agents

Neotask reads incoming access-request messages, whether typed into Slack, filed as a Jira ticket, or emailed to IT, and turns each one into a resolved grant or a documented denial without a human re-typing anything. It checks the requester against the tool's existing seat or role table, applies whatever approval policy the request type carries (manager sign-off for a paid tool, security review for anything touching customer data), and either provisions the access directly through the target system or routes it to the right approver with the context already attached. The requester gets a real-time status update in the channel they asked from, the audit trail lands in the same record every time, and IT stops being the bottleneck between "I need Figma" and actually having Figma. What used to take a day of back-and-forth over Slack DMs now closes in minutes for anything that matches policy, and the exceptions still get a human, just a faster-informed one.

How it works today vs. with Neotask

Access requests are deceptively expensive because the actual grant is trivial and the surrounding coordination is not. A new hire messages their manager for a Notion seat; the manager forwards it to IT; IT checks whether the person is even in the identity provider yet; someone remembers to check whether the role needs security sign-off because it touches billing data; the ticket sits for two days because the approver was in meetings; and by the time the grant happens nobody remembers to close the loop with the original requester, so they ask again in a different channel and now there are two open tickets for the same request. Multiply that by every SaaS seat, VPN exception, shared-drive folder, and admin-console role across a growing company and IT ends up spending hours a week just shepherding paperwork rather than making decisions. The manual version also has no consistent audit trail — approvals happen in DMs, emails, and hallway conversations, which is exactly the kind of gap a SOC 2 or ISO 27001 auditor flags during access review season. With Neotask handling intake, policy matching, and provisioning, the same request becomes a structured event: logged, timestamped, tied to an approver, and — for anything that doesn't need a human — closed before the requester has switched tabs. The judgment calls that do need a person (a contractor asking for production database access, say) still get escalated, but with the requester's role, tenure, and the exact resource already summarized so the approver isn't starting from zero.

The agent flow

Capture the request from wherever it lands

Neotask watches the channels people actually use — a Slack request channel, an email alias, or a Jira service-desk form — and normalizes each one into a structured request: who, what resource, what justification.

Integration: slack

Match against the live roster

It cross-checks the requester against the current seat list or role table in the target system so duplicate or already-granted requests get closed immediately instead of queued.

Integration: 1password

Apply the approval policy

Low-risk, pre-approved request types (a standard tool seat for an existing employee) get auto-provisioned; anything touching sensitive systems routes to the designated approver with the request context attached.

Integration: microsoft-teams

Provision or escalate

For auto-approved requests, Neotask completes the grant directly against the target system's admin API; for escalations, it opens a tracked ticket with the SLA clock already running.

Integration: jira

Confirm and log

The requester gets a status update in their original channel, and the decision — grant, deny, or pending — is written to a permanent, timestamped record for audit review.

Integration: notion

Variations

Frequently asked questions

Does Neotask actually grant access, or just route the ticket?

Both — for requests that match a pre-approved policy (a standard SaaS seat for an active employee, for example) it provisions directly through the target system's admin API. Anything higher-risk gets routed to a human approver with context attached rather than auto-granted.

How does it know which requests need a security review?

The policy is configured per resource type — you tell it which systems or roles require manager sign-off versus security sign-off versus no review at all, and it applies that consistently instead of relying on someone remembering the rule.

What happens to the audit trail?

Every request, decision, and approver is written to a single timestamped record, which is exactly the artifact an access-review auditor asks for — no more reconstructing approvals from old Slack threads.

Can it handle revoking access too, not just granting it?

Yes — the offboarding variation runs the same policy matching in reverse, checking a departing employee against every system they had access to and opening revocation actions automatically.

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