The Insaan Control Model™
Outsource the work.
Keep the control.
Most outsourcing companies ask you to trust them. We ask you to see everything. The Insaan Control Model is the operating framework that gives you agent-level visibility, full auditability, and real-time control over every team we run on your behalf.
Six points of control
Agent-Level Visibility
Workforce Auditing
Team Configuration
Real-Time Reporting
Flexible Scaling
NAS-AI Optimization
Two operating models
The difference is what you are allowed to see.
In the traditional model, the provider holds the operational detail and shares a curated summary. When something goes wrong, you learn about it after it has already affected your customers — and the explanation arrives as a story rather than a record.
The Control Model inverts that relationship. The same data our delivery leaders manage to is the data you can inspect, at any time, down to the individual agent. Accountability stops being a promise and becomes a property of the system.
Traditional Outsourcing
- Program-level reporting only
- Curated monthly summaries
- Shared agents across many accounts
- Quality reviewed on small samples
- Issues surface after the impact
- Scaling requires renegotiation
The Insaan Control Model
- Agent-level visibility by default
- Live dashboards, refreshed continuously
- Dedicated teams built for your account
- Auditable QA across full coverage
- Bottlenecks flagged before they cost
- Capacity scales as a planned lever
One framework, six disciplines
Control is not a feature. It is the architecture.
The Control Model is built from six disciplines that reinforce one another. Visibility gives you the picture; auditing makes the picture defensible; configuration lets you shape the team to the work; reporting puts the data in your hands in real time; scaling keeps capacity matched to demand; and NAS-AI optimizes the whole operation continuously.
No single discipline carries the model on its own. Together they replace the trust-based relationship of conventional outsourcing with something measurable, inspectable, and yours to direct.
Inside the framework
Six disciplines that put you in command of the operation.
Agent-Level Visibility
See the work, not just the invoice.
Traditional outsourcing reports at the program level — a single CSAT number, a monthly volume total, a blended handle time. The Insaan Control Model reports at the level of the individual. You see how each agent on your account performs, how they trend week over week, and where the team is strongest and weakest. Visibility this granular changes the relationship: instead of accepting an aggregate you cannot interrogate, you work from the same operational picture your delivery leaders use every day.
- Productivity and utilization by agent and by shift
- Quality scores, performance trends, and ranking distribution
- First-contact resolution, escalation, and CSAT by individual
- Real-time attendance, adherence, and occupancy
- Sales effectiveness, conversion, and pipeline contribution
Workforce Auditing
Evidence, not assurances.
Every interaction your team handles can be reviewed. Calls are recorded, chats and emails are retained, and quality evaluations are logged against a scorecard you help define. Coaching is documented rather than promised, so improvement is traceable to a specific intervention on a specific date. When a stakeholder asks why a metric moved, the answer is in the record — not in a narrative assembled after the fact.
- Searchable archive of recorded voice and digital interactions
- Structured QA evaluations against a shared scorecard
- Documented coaching logs tied to individual agents
- Calibration sessions to keep scoring consistent over time
- Historical trend analysis across weeks, months, and quarters
Team Configuration
Built for your account — not borrowed from a pool.
Shared agents serve whoever is loudest in the queue. Dedicated agents serve you. The Control Model lets you specify the size, structure, and composition of your team: the skillsets and experience you require, the languages and time zones you operate in, and whether you want a fully dedicated team or a hybrid model for variable volume. Because the configuration is explicit, it can be changed deliberately rather than discovered after a service failure.
- Custom team size and reporting structure
- Skillset, experience, and tenure requirements you define
- Language, region, and time-zone coverage
- Dedicated, shared, or hybrid staffing models
- Named team leads and a clear escalation path
Real-Time Reporting
Answers when you ask, not at the end of the month.
Operational decisions do not wait for a reporting cycle, so neither should the data. Live dashboards expose the metrics that matter to your business as they happen, with alerting on the thresholds you care about and drill-down from the program level to the individual. Reporting is configured to your definitions of success, which means the numbers you review are the numbers you act on — without translation, reconciliation, or delay.
- Live operational dashboards refreshed continuously
- KPI tracking with configurable thresholds and alerts
- Drill-down from program to team to agent
- Custom report generation aligned to your metrics
- Scheduled distribution to the stakeholders who need it
Flexible Scaling
Capacity that follows demand.
Volume is rarely flat. Seasonal peaks, product launches, regulatory deadlines, and growth initiatives all move the line. The Control Model treats capacity as adjustable rather than fixed, so you can add or reduce seats in step with demand instead of carrying for the peak all year. Scaling is a planned operational lever — not a contract renegotiation — which keeps cost aligned to the work actually being done.
- Seasonal and event-driven capacity adjustment
- Ramp plans for growth and new-program launches
- Faster onboarding through documented playbooks
- Capacity modeling against your forecast
- No penalty for adapting to changing conditions
NAS-AI Optimization
A system that improves while it runs.
NAS-AI is the operational intelligence layer beneath the Control Model. It is not a chatbot — it reads the same signals you see and works on them continuously, surfacing workflow inefficiencies, identifying bottlenecks, and flagging automation opportunities before they show up as cost. Optimization stops being a quarterly project and becomes a property of the operation itself, with every recommendation traceable back to the data that produced it.
- Continuous workflow inefficiency detection
- Process bottleneck identification and root-cause signals
- Automation opportunity discovery across the queue
- Quality-assurance analytics at full coverage, not samples
- Ongoing cost optimization tied to measured outcomes
From interaction to insight
How a single interaction becomes operational control.
Every contact your team handles moves through the same pipeline. Nothing is sampled away, and nothing is summarized before you can inspect it.
Capture
Every voice and digital interaction recorded and retained
Measure
Performance, quality, and adherence scored per agent
Surface
Metrics streamed to live dashboards in real time
Audit
Evaluations and coaching logged against the record
Optimize
NAS-AI flags inefficiencies and automation opportunities
The standard, not the upgrade
Visibility that comes built in.
These are not premium add-ons or end-of-quarter exports. They are how every Insaan Global engagement operates from day one — the default posture of the Control Model.
Governance rhythm
Control operates on a cadence, not a calendar surprise.
Continuous
Live Operations
Dashboards run in real time. Team leads and your stakeholders watch the same metrics as the day unfolds, with alerts on the thresholds that matter to your business.
Weekly
Performance Review
Scorecards, QA evaluations, and coaching notes are reviewed every week. Trends are identified early and acted on while they are still small.
Quarterly
Strategic Calibration
Team configuration, capacity plans, and optimization findings from NAS-AI are reviewed against your goals — and the model is adjusted deliberately.
The intelligence underneath
NAS-AI is what makes the Control Model improve on its own.
The framework gives you the visibility. NAS-AI acts on it — reading the same signals continuously to surface inefficiencies, bottlenecks, and automation opportunities before they reach your cost line.
See exactly how your operation would run.
Request a walkthrough of the Control Model against your own program, and we will show you the visibility you would have from day one.