01
Permitted task
The exact classification, drafting, retrieval or action the system may perform.
Governed intelligence at work
Scale judgement—not unchecked automation.
WAB2C helps enterprises decide where AI may assist, recommend or act—and where a named person must review, approve or take ownership.
Confidence and evidence remain visible
Human authority is designed by risk
Every exception lands with an owner
Corrections improve the next operating cycle
Autonomy by risk
Choose the level of automation the decision can safely carry.
Autonomy is not one global switch. It changes by task, evidence, reversibility, customer impact and delegated authority.
May do
- Rank approved options
- Explain why an option fits
- Flag missing evidence
Must do
- Expose confidence and rationale
- Preserve alternatives
- Record the human decision
May not do
- Present a recommendation as policy
- Override restricted routing
- Close an exception
Human control contract
Make the boundary inspectable before AI touches customer work.
Every production use case needs a short operating contract that managers, risk teams and frontline owners can understand.
The governing question
What can this task do, using which evidence, under whose authority, and what happens when confidence or context is insufficient?
02
Approved evidence
The knowledge, customer context and business-system data the task may use.
03
Confidence gate
The threshold, uncertainty signal or risk override that changes the path.
04
Human authority
The role that approves, corrects, escalates or owns the final commitment.
05
Prohibited action
The decisions, data and customer commitments automation must never make alone.
06
Evidence trail
Inputs, recommendation, approval, action, result and correction kept for review.
Human + AI workbench
One path from signal to accountable learning.
The work does not end when AI produces an answer. It ends when the outcome, ownership and correction are visible.
01
Sense
Receive a message, voice transcript, form or system event with approved context.
02
Assist
Summarise, classify, retrieve or draft inside a defined task boundary.
03
Decide
Apply confidence, risk, customer impact and authority rules to choose the path.
04
Act
Execute, request approval or assign a human with the complete context package.
05
Review
Compare outcome, correction and exception evidence to improve the control.
Human oversight calculator
Estimate capacity after review and exceptions—not before.
A credible AI case subtracts the work needed to review decisions and resolve exceptions. Adjust every assumption to match your operation.
International reference frameworks
Govern the operating system, not just the model.
These standards can inform discovery, control design and evidence requirements. Their inclusion is a reference—not a claim that WAB2C or a customer deployment is certified.
ISO/IEC 42001:2023
AI management system
Frames accountable policy, impact, lifecycle and continual improvement around enterprise AI use.
ISO/IEC 23894:2023
AI risk management
Informs how AI-specific risks can be identified, assessed, treated and monitored in context.
ISO/IEC 27001:2022
Information security
Provides a reference for risk-based controls around information, access and operational evidence.
Readiness checklist
Can your operation explain who controls the AI?
Complete the checks, then send the result to yourself or ask WAB2C to guide the unresolved controls.
0 / 7
controls currently confirmed
Challenge
Teams spent time reading long threads and manually identifying intent, urgency and the correct specialist.
Control model
AI summarised and classified approved fields; confidence, sensitive topics and customer requests activated human review.
Operating value
Qualified owners received clearer context sooner while advice, exceptions and final commitments remained accountable.
Enterprise customer perspective
Responsible control becomes real in operating support.
5 / 5
“WAB2C helped us introduce automation without losing human responsibility. Their team made escalation rules practical, connected operational context, and supported our people closely through each controlled rollout.”
Sumair Ahmed
CIO · EV Company
4.5 / 5
“The Human plus AI structure gave management clearer control over sensitive client communication. WAB2C’s team explained boundaries, approvals, evidence, and exception handling with genuine patience and practical support.”
Syed Abubakar
Head of IT · Accounting & Taxation Company
5 / 5
“Our agents gained useful summaries and faster next actions while remaining accountable for customer commitments. WAB2C supported the technical design closely and helped refine controls from real operating feedback.”
Bilal Saeed
CTO · Mobile Phone Repair Company
The reason to meet
Bring one AI use case. Leave with its human-control decision map.
In one focused discussion, frame the permitted task, approved evidence, confidence gate, human authority, prohibited action, review measure and controlled first release.
Decision FAQs
Six Human + AI questions an enterprise should answer before production.
The answers define whether AI is a governed operating capability or an uncontrolled experiment.
01Operating modelHow is Human + AI Operations different from adding a chatbot?
A chatbot is one customer interface. Human + AI Operations defines which tasks AI may assist, recommend or execute; what evidence it may use; when a person must approve; how exceptions are owned; and how every material action is reviewed.
Review the autonomy model02AccountabilityWhich enterprise decisions should always remain under human control?
Sensitive, irreversible, regulated or high-impact commitments should remain with appropriately authorised people. The precise boundary depends on business risk, customer impact, legal obligations, evidence quality and the ability to reverse an action.
See the control contract03Risk controlHow does WAB2C reduce the risk of an incorrect or invented AI response?
The design uses bounded tasks, approved sources, confidence gates, prohibited actions, human approval and evidence trails. These controls reduce risk but do not make AI infallible; monitoring and accountable review remain essential.
Follow the operating path04Decision designWhat does an AI confidence threshold mean in operations?
It is a defined signal used with business rules to decide whether an output may assist, requires approval or must escalate. A threshold is not proof of correctness and should be validated against real examples and impact.
Explore confidence gates05Channel coverageCan human-controlled AI support multilingual messages and voice notes?
Where configured services and approved language workflows are available, transcription, translation, summarisation and drafting can support multilingual handling. Humans should review sensitive meaning, tone, commitments and low-confidence language output.
Explore multi-region operations06Business caseHow should an enterprise measure the value of Human + AI Operations?
Measure eligible work, assistance coverage, human review, exceptions, net hours returned, quality and customer outcomes together. Time saved without oversight, correction and outcome evidence is not a credible enterprise business case.
Use the oversight calculator