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PLAYBOOKS

Be ready when the happy path ends.

These playbooks are scenario-based operating procedures for the cases that break an automated flow: an uncertain system action, a duplicate request, a handoff that needs context. Scenario-based operating guidance for uncertain actions and human handoffs. Define the owner, the evidence and the recovery behavior before the exception happens.

Browse playbooks

THE UNLEASHX POINT OF VIEW

Autonomy is a responsibility with boundaries.

A useful AI employee does more than produce an answer. It has a defined job, permitted actions and a result someone can verify. Our resource library is organized around those decisions.

Define the job

Start with a business state that should change. Agree the authority needed to change it.

Establish the evidence

Check the destination record. Keep attempted, confirmed and unresolved work distinct.

Own the exceptions

Name the receiving person or queue and preserve the decision needed to continue.

CURATED READING & WORKSHEETS

Explore the playbooks.

Each resource states who it is for and what you should have when you finish. No assumed implementation timeline or performance guarantee.

PLAYBOOKS

Recover an uncertain system action

Handle timeouts without turning a retry into a duplicate booking, return or account update.

  • Recognize uncertainty
  • Reconcile before retrying
  • Assign an owner when automation stops

For: Integration and operations owners
Takeaway: An owned recovery path

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PLAYBOOKS

Make a human handoff useful

Pass the decision, not the entire problem, to the right person, with enough context to act.

  • Name the reason to hand off
  • Prepare a compact decision packet
  • Verify ownership

For: Service and workforce operations teams
Takeaway: A tested exception handoff

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HOW TO USE THIS COLLECTION

Rehearse the cases your normal workflow cannot settle.

A playbook is an operating agreement for a particular situation. It should say who acts, which records they inspect and when the workflow may resume. Use a tabletop exercise with real system owners before relying on it in production.

A write times out

The destination may have completed the operation even if the response never arrived. Reconcile the original action before retrying. Confirm what duplicate protection the actual API provides rather than assuming retries are safe.

Plan uncertain-action recovery

The request exceeds authority

Capture the decision needed and assign the appropriate owner. Preserve what has already happened so the next person does not repeat actions or promise an outcome that has not been approved.

Plan the human handoff

The reviewer is unavailable

Decide which queue retains ownership, what the customer is told and when the case is reviewed again. A notification without confirmed assignment is not a completed handoff.

Review operating boundaries

A practical starting point

A return request times out after the commerce system creates it. A blind retry can create a duplicate. Rehearse lookup of the original reference, confirmation of the current state and routing to recovery when that state cannot be determined.

What to leave with: The exercise is complete when an operator can identify the attempted action, the remaining uncertainty, the next owner and the condition for resumption without reconstructing the conversation.

PUT THE THINKING TO WORK

From a clear brief to a scoped pilot.

Check deployment readiness

Review ownership, integration requirements and the conditions needed to evaluate a real workflow.

Open the readiness framework

Explore an AI responsibility

See pre-built employees and their operating boundaries, or design a custom role for your process.

Explore the workforce
Browse the existing playbooks directory

Earlier material is retained for reference. The featured resources above reflect the current editorial approach; earlier performance, availability and deployment claims need validation for your configuration.

Aye Finance
Bajaj Capital
eMSME
Shyama Power
MedoPlus
Gullybaba
ICOFP
Sapio Analytics
Ostello
OnGrid
Black Kite Foundation
AAFM
Regus Automobiles
Karma Hyundai
Codestax
AksEdge
Tiger FinTech
Coneon
Xoxoday
Blu Parrot
Edgy Scribblers
NxG
V2C

CUSTOMER REVIEWS ON G2

From conversations to completed work.

4.9/ 5
  • End-to-end automation

    We’ve deployed UnleashX across a genuinely wide range of use cases, rather than relying on a single narrow bot.
    Nitin J.SVP, Head of EngineeringEnterprise (> 1,000 employees)
1 / 7

BRING THE OPEN QUESTIONS

What does your team need to decide next?

Bring a responsibility brief, a difficult exception or a pilot scorecard. We’ll use the actual workflow to make the discussion concrete.