The term Artificial Intelligence (AI) often sends a ripple of excitement mixed with a dash of fear through society. While some envision a utopian future aided by intelligent machines, others predict an Orwellian nightmare. To unravel this complex web of emotions and demystify the concepts of AI, we must journey into the heart of its two main facets: Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI).

Artificial Narrow Intelligence (ANI)

Artificial Narrow Intelligence refers to AI systems that are designed to perform a specific task. Unlike human intelligence, ANI lacks the ability to understand, learn, or apply knowledge beyond that particular function.

Examples and Usage in Industry

1. Search Engine Algorithms: Google’s search algorithm is a prime example of ANI. It’s tailored to find the most relevant information based on user queries but doesn’t possess the ability to perform tasks outside this domain.

2. Automated Customer Service: Companies like Amazon utilize chatbots to handle customer queries. These AI-driven assistants are proficient in their designated roles but remain confined to that specific task. One good example can also be given of Hitee (an AI-powered chatbot developed by Mantra Labs) for applications across different industries.

According to a report by Gartner, by 2022, 40% of customer interactions were expected to be handled by AI-driven automation.

Artificial General Intelligence

AGI, on the other hand, refers to machines that possess the ability to understand, learn, and apply knowledge across various domains, much like a human being. AGI is a theoretical concept and doesn’t exist in practice yet.

Fear of AGI

The alarm around AGI stems from its potential to perform any intellectual task that a human being can do. The fear is often exacerbated by Hollywood portrayals but is largely ungrounded due to the current technological limitations.

ANI vs AGI: A Comparative Insight

Feature	ANI	AGI
Learning Capability	Task-Specific	Cross-Domain
Existence	Present and Functional	Theoretical Concept
Usage in Industries	Widespread (e.g., Healthcare, Finance)	N/A
Potential Risk	Limited to Task Failure	Hypothetical Existential Risks

NI vs AGI: A Comparative Insight

Utilization of ANI in the Across Industries

ANI has become the driving force behind many technological advancements. For example, in healthcare, IBM’s Watson stands as a testament to the potential of ANI. By analyzing vast amounts of patient data, Watson offers treatment suggestions, transforming the way medical professionals approach patient care. This isn’t just a statistical leap; it’s a human one, potentially saving lives and reducing healthcare costs by an estimated $150 billion annually by 2026.

The financial sector, too, has embraced ANI with open arms. JPMorgan Chase’s use of ANI for fraud detection is more than a task-specific application; it’s a bulwark against financial crimes. The rise of robo-advisors like Wealthfront symbolizes a new era of democratized investment advice, powered by ANI.

Ethical Considerations of AGI

The hypothetical existence of AGI not only raises eyebrows but poses ethical considerations. The very notion of AGI, capable of human-like understanding and learning, presents existential risks and challenges our very perception of intelligence. What would it mean to create a machine with human-like consciousness? The ethical implications stretch beyond the realm of science and technology into the core of human values, morality, and employment impact.

A Balanced Conclusion

In deciphering the complex world of AI, one must appreciate the nuanced differences between ANI and AGI. ANI, with its specificity, has already embedded itself into our daily lives, enriching and optimizing various sectors. It’s a tool, not a threat, serving humanity in ways previously unimaginable.

AGI, though intriguing, remains a conceptual framework without practical implementation. The fear of machines taking over is a narrative woven more from the threads of fiction than the fabric of reality. What we should focus on is the tangible benefits and ethical considerations of the AI technologies currently at our disposal.

Empowering Frontline Healthcare Sales Teams with Mobile-First Tools

By : Team Mantra

Published on Jul 15, 2025

Healthcare mobile app Sales App

In healthcare, field sales is more than just hitting quotas—it’s about navigating a complex stakeholder ecosystem that spans hospitals, clinics, diagnostics labs, and pharmacies. Reps are expected to juggle compliance, education, and relationship-building—all on the move.

But, traditional systems can’t keep up.

Only 28% of a rep’s time is spent selling; the rest is lost to administrative tasks, CRM updates, and fragmented workflows.

— Salesforce, State of Sales 2024

This is where mobile-first sales apps in healthcare are changing the game—empowering sales teams to work smarter, faster, and more compliantly.

The Real Challenges in Traditional Field Sales

Despite their scale, many healthcare sales teams still rely on outdated tools that drag down performance:

Paper-based reporting: Slows down data consolidation and misses real-time insights
Siloed CRMs: Fragmented systems lead to broken workflows

According to a study by HubSpot, 32% of reps spend at least an hour per day just entering data into CRMs.

Managing Visits: Visits require planning, which may involve a lot of stress since doctors have a busy schedule, making it difficult for sales reps to meet them.
Inconsistent feedback loops: Managers struggle to coach and support reps effectively
Compliance gaps: Manual processes are audit-heavy and unreliable

These issues don’t just affect productivity—they erode trust, delay decisions, and increase revenue leakage.

What a Mobile-First Sales App in Healthcare Should Deliver

According to Deloitte’s 2025 Global Healthcare Executive Outlook, organizations are prioritizing digital tools to reduce burnout, drive efficiency, and enable real-time collaboration. A mobile-first sales app in healthcare is a critical part of this shift—especially for hybrid field teams dealing with fragmented systems and growing compliance demands.

Core Features of a Mobile-First Sales App in Healthcare

1. Smart Visit Planning & Route Optimization

Field reps can plan high-impact visits, reduce travel time, and log interactions efficiently. Geo-tagged entries ensure field activity transparency.

2. In-App KYC & E-Detailing

According to Viseven, over 60% of HCPs prefer on-demand digital content over live rep interactions, and self-detailing can increase engagement up to 3x compared to traditional methods.
By enabling self-detailing within the mobile app, reps can deliver compliance-approved content, enable interactive, personalized detailing during or after HCP visits, and give HCPs control over when and how they engage.

3. Real-Time Escalation & Commission Tracking

Track escalation tickets and incentive eligibility on the go, reducing back-and-forth and improving rep satisfaction.

4. Centralized Knowledge Hub

Push product updates, training videos, and compliance checklists—directly to reps’ devices. Maintain alignment across distributed teams.

5. Live Dashboards for Performance Tracking

Sales leaders can view territory-wise performance, rep productivity, and engagement trends instantly, enabling proactive decision-making.

Case in Point: Digitizing Sales for a Leading Pharma Firm

Mantra Labs partnered with a top Indian pharma firm to streamline pharmacy workflows inside their ecosystem.

The Challenge:

Pharmacists were struggling with operational inefficiencies that directly impacted patient care and satisfaction.
Delays in prescription fulfillment were becoming increasingly common due to a lack of real-time inventory visibility and manual processing bottlenecks.
Critical stock-out alerts were either missed or delayed, leading to unavailability of essential medicines when needed.
Additionally, communication gaps between pharmacists and prescribing doctors led to frequent clarifications, rework, and slow turnaround times—affecting both speed and accuracy in dispensing medication.

These challenges not only disrupted the pharmacy workflow but also created a ripple effect across the wider care delivery ecosystem.

Our Solution:

We designed a custom digital pharmacy module with:

Inventory Management: Centralized tracking of sales, purchases, returns, and expiry alerts
Revenue Snapshot: Real-time tracking of dues, payments, and cash flow
ShortBook Dashboard: Stock views by medicine, distributor, and manufacturer
Smart Reporting: Instant downloadable reports for accounts, stock, and sales

Business Impact:

2x faster prescription fulfillment, reducing wait times and improving patient experience
27% reduction in stock-out incidents through real-time alerts and inventory visibility
81% reduction in manual errors, thanks to automation and real-time dashboards
Streamlined doctor-pharmacy coordination, leading to fewer clarifications and faster dispensing

Integration Is Key

A mobile-first sales app in healthcare is as strong as the ecosystem it fits into. Mantra Labs ensures seamless integration with:

CRM systems for lead and pipeline tracking
HRMS for leave, attendance, and performance sync
LMS to deliver ongoing training
Product Catalogs to support detailing and onboarding

Ready to Empower Your Sales Teams?

From lead capture to conversion, Mantra Labs helps you automate, streamline, and accelerate every step of the sales journey.

Whether you’re managing field agents, handling complex product configurations, or tracking customer interactions — we bring the tech & domain expertise to cut manual effort and boost productivity.

Let’s simplify your sales workflows. Book a quick call.

Further Reading: How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

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Will AI Takeover Everything? Facts Suggest Otherwise

Artificial Narrow Intelligence (ANI)