Request my blueprint

Turn one stalled handoff into a pilot plan your security team can review.

The 3A Handoff Pilot Blueprint maps the workflow, local-first control path, policy gates, and success criteria before you commit budget or connect a production system.

Request my pilot blueprint

Start with one 20-minute fit review. Qualified teams receive one decision-ready package.

  • No payment or purchase commitment
  • No production access for fit review
  • One active workflow
CONTROLLED HANDOFF

Release dependency · SEC-241

MK
Maya's Second Brain Product engineering · Managed device
Local
MODEL PROPOSALRequest security approval
Owner
Platform security
Action
Review exception
Source data
Keep local
DETERMINISTIC POLICY 4 checks passed · approval required
Review

Minimal approved request · A2A

JL
Jordan's Second Brain Platform security · Managed device
Received

THE 3A HANDOFF PILOT BLUEPRINT

One workflow in.
One pilot decision package out.

For IT, security, and platform leaders who need enough evidence to approve, reject, or reshape an agent pilot without starting with a generic demo.

BEST FIT An active cross-team handoff with an accountable owner and a measurable baseline.

Access requests, incident response, release approvals, and service requests are strong starting points.

QUALIFIED DESIGN PARTNERS RECEIVE One consolidated decision package
5 deliverables
  1. 01
    Handoff Baseline Map

    Queue time, manual touches, repeated context, and current owners.

  2. 02
    Local-First Control Map

    What stays on device, what crosses teams, and who can act.

  3. 03
    Policy and Approval Matrix

    Identity, permission, data rules, risk tiers, and human gates.

  4. 04
    Pilot Success Scorecard

    Baseline, target metrics, acceptance criteria, and stop/go rules.

  5. 05
    Economics Scenario

    A directional local-versus-cloud model with assumptions made explicit.

The Fit-First Promise

If we cannot define a safe, measurable pilot around your workflow, we will recommend no pilot. The blueprint requires no payment, purchase commitment, or production-system access.

Why intake is limited: every blueprint requires hands-on workflow, architecture, and security review. Requests are reviewed in cohorts based on fit.

THE 3A THESIS

Automate your handoffs.
Keep human accountability.

Give each employee a role-aware local agent that coordinates bounded requests while your identity, policy, and execution controls stay outside the model.

01

SOURCE CONTEXT

Processed on the managed workstation

Stays local
02

MODEL ROLE

Proposes a typed plan - nothing more

Proposal only
03

CONTROL POINT

Deterministic code checks every handoff

Allow · Block · Review
04

TEAM COORDINATION

Only the approved request crosses teams

Minimum payload

FIVE-SECOND ARCHITECTURE

See what stays local - and what crosses teams.

Local-first control path
Architecture: an employee request enters a local Second Brain, deterministic policy checks the handoff, and another local agent receives only the approved task.

ONE REQUEST, END TO END

What stays local. What crosses teams. Who decides.

MAYA'S MANAGED DEVICE
1 WORK ARRIVES Jira release request

“Approve exception for release 4.2”

2 LOCAL AGENT Reads allowed context

Role, ticket, linked policy

Raw ticket and files stop here
3 CODE-OWNED POLICY Checks before sharing
  • ✓ Identity
  • ✓ Permission
  • ✓ Data rules
Human approval required

Only this crosses teams
Release ID · business reason · requested decision

JORDAN'S MANAGED DEVICE
4 COUNTERPART AGENT Prepares the response

Finds the control owner and relevant policy

5 PEOPLE DECIDE Both employees review

Decision · status · audit receipt

The model drafts. Deterministic policy controls what moves. People retain approval.

THE SAME RELEASE REQUEST, TWO PATHS

Move the decision - not all the source data.

HOW IT WORKS TODAY People carry context between queues
  1. 1
    Requester opens a Jira ticketThe ticket enters a general queue.
    Jira
  2. 2
    Requester searches for an ownerContext is copied into a Slack message.
    Slack
  3. 3
    Wrong team redirects the requestA new ticket or thread starts elsewhere.
    New queue
  4. 4
    Reviewer asks for missing proofThe requester reconstructs context again.
    Follow-up
Human routingRepeated contextLate permission checks
WITH 3A Policy routes a minimum necessary request
  1. 1
    Local agent reads the approved sourcesThe raw ticket and files remain on Maya's device.
    Local
  2. 2
    Policy validates the proposed handoffIdentity, permission, and data rules are checked first.
    Checked
  3. 3
    Jordan's agent receives a bounded taskOnly the release ID, reason, and requested decision cross.
    Minimum payload
  4. 4
    Both people receive the review packageDecision, provenance, status, and receipt return to Jira.
    Review
Role-aware routingLocal source contextPolicy before sharing

Each pilot measures elapsed time, manual handoffs, repeated context, and policy exceptions against the current workflow.

SECURITY-FIRST ARCHITECTURE

Let the model suggest.
Let your controls decide.

Keep the model separate from identity, policy, credentials, and execution so your code - not a prompt - controls each handoff.

  • 01
    Sensitive context local by default

    Source documents, prompts, and local memory are intended to stay inside the managed device boundary.

  • 02
    Minimum necessary coordination

    Only a typed, policy-approved payload - not wholesale source context - is intended to cross between agents.

  • 03
    Constrained execution

    Separate code checks schema, identity, permission, risk, and approval before an action can receive a one-time capability.

Security model showing raw source context blocked at the device boundary while a minimal approved request can pass through deterministic policy.
Controls are verified per pilot environment.

Deployment scope, integrations, endpoint requirements, data retention, and security acceptance criteria are documented before a pilot begins. No certification is implied.

A COST HYPOTHESIS WORTH TESTING

Use compute you already manage for routine inference.

Test whether local execution gives you more predictable unit economics than per-seat or usage-metered cloud agents at sustained volume.

Illustrative monthly inference cost 100 agents
Local electricity estimate
$33–45
Cloud inference estimate
$113–2,750

Directional model only. Excludes endpoint hardware, deployment, support, administration, central services, and depreciation. Workload and provider assumptions must be validated before any purchasing decision.

WORKS ALONGSIDE YOUR CONTROL PLANE

Keep your systems of record.
Add a controlled handoff layer.

YOUR WORK SYSTEMS
JJiraTasks
SNServiceNowRequests
SSlackContext
3A Coordinate the handoff
  1. 1Read locally
  2. 2Check policy
  3. 3Send minimum task
A2AMCP
YOUR CONTROL PLANE
IDSSOIdentity
DDevicesEndpoint policy
✓AuditReceipts

OBJECTIONS, ANSWERED HONESTLY

Questions your security review should ask.

Does data really never leave the device?

Sensitive source documents, prompts, and local memory stay on the managed workstation by default. Only a typed payload that passes policy and data-loss checks crosses the network, along with required metadata.

Isn't this just Jira or ServiceNow automation?

Jira and ServiceNow automate known workflows. 3A handles the ambiguous work between them: finding the right counterpart, assembling permitted context, and returning a reviewable handoff.

How is this different from Copilot or Agentforce?

3A runs routine reasoning on managed endpoints, keeps sensitive context local by default, and places deterministic policy outside the model. It complements suites rather than replacing them.

Can a hallucinating or compromised model take action?

The model proposes a typed request. Separate code verifies schema, identity, authorization, policy, risk, and approval before a constrained executor receives a one-time capability.

Will local models slow employee laptops?

Each pilot defines qualified hardware, resource budgets, and pause controls, then measures memory, thermal, battery, and latency impact on managed endpoints.

How can my team access 3A?

3A is available through a limited private pilot. Access starts with one workflow, a security review, and agreed success criteria.

What exactly is in the Handoff Pilot Blueprint?

Qualified teams receive a current-state handoff map, local-first control path, policy and approval matrix, measurable pilot scorecard, and directional economics scenario in one decision package.

Does the blueprint require payment or production access?

No. The blueprint is part of design-partner qualification and carries no payment or purchase commitment. Any implementation pilot is scoped separately only if both teams agree.

Why is private-pilot intake limited?

Each request receives hands-on workflow, architecture, and security review. We review applications in cohorts based on problem fit instead of using an artificial countdown or deadline.

3A HANDOFF PILOT BLUEPRINT

Bring one stalled handoff.
Leave with a pilot decision.

Qualified design partners receive the five-part blueprint before deciding whether to run an implementation pilot.

01

20-minute Pilot Fit Review
Map the workflow, accountable owner, current delay, and blockers.

02

Five-part decision package
Review architecture, controls, metrics, and economics in one place.

03

Fit-First Promise
If there is no safe, measurable path, we recommend no pilot.

REQUEST YOUR PILOT BLUEPRINT

Start with one active handoff.

No payment, purchase commitment, or production access is required. We use your response only to assess pilot fit and do not sell it. Read the Privacy Policy.