Agentic aI
Traditional AI delivers outputs — but businesses need outcomes. Agentic AI changes this by enabling intelligent agents that can sense, plan, act, and adapt across enterprise workflows. With NowVertical’s value-driven approach, we help you move from pilots to production, from experiments to measurable ROI.
From Outputs to Outcomes
Shift from isolated AI pilots to orchestrated workflows that deliver business results, not just activity.
Controlled, Measurable Adoption
Deploy Minimum Viable Agents with clear guardrails, prove impact fast, and scale with confidence.
Free Humans for Higher-Value Work
Leverage tested patterns, governance, and safeguards that make adoption safe, resilient, and future-ready.
Enterprises stand at the edge of a breakthrough and it will be driven by AI going beyond pilots and proofs of concept to unlock true business-wide impact.
Agentic AI is that next step.
It transforms AI from a tool that generates outputs into a system that drives outcomes — orchestrating across workflows, teams, and platforms to deliver measurable value.By aligning intelligent agents to clear business goals, supported by strong governance and proven frameworks, NowVertical enables organisations to:
Forecast accuracy improvements
Unlock new growth through connected, intelligent workflows.
Scale success stories from pilot projects into enterprise-wide adoption.
With Agentic AI, enterprises can move confidently from experimentation to sustained impact — turning today’s opportunities into tomorrow’s competitive advantage.
We accelerate your Agentic AI journey through our NowUnlock Toolkit
A Systematic Approach To Maximising The Value Delivered By Agents
Agentic AI can easily drift into risk areas. Starting with a Minimum Viable Agent and following our DEPTH method keeps progress controlled, measurable, and tied to outcomes. We prove value fast, de-risk autonomy with clear guardrails, and scale what works—so pilots graduate to enterprise adoption with governance, performance, and ROI built in.
Capability
How agents can operate in an enterprise:
We map the right class of agent to the right job—from simple reflex and rule-driven helpers to goal-based, learning agents and coordinated agent networks. We assess your data, systems and controls, then design agents that operate safely inside your enterprise stack with clear objectives, guardrails and auditability.
Application
The spectrum of agents and automation
We place each initiative on a pragmatic maturity curve: Manual → Rule-based → Intelligent processes → Agentic workflows → Semi/Fully autonomous. We start where risk is lowest and value is visible, instrument outcomes, and only step up autonomy when controls, data quality and ROI justify it.
Opportunity
How to dissect enterprise workflows for automation
We dissect workflows to find where agents create outsized value—transactional, repetitive and event-triggered tasks first; then judgement-led and collaborative work as foundations mature. Using process/data discovery and value sizing, we target the highest-leverage moments across channels, systems and teams.
Evaluation
How to assess agent opportunities within an enterprise
We quantify opportunities with a simple model balancing upside and risk: maximise Financial and Business Impact, discount by (Inherent Risk × Severity), and divide by Time-to-Value. This gives an objective stack-rank that directs investment, sequencing and governance for each candidate use case.
Approach
How to apply Minimum Viable Agent philosophy
We apply a Minimum Viable Agent philosophy: define a narrow goal, wire the smallest set of tools and data, include human-in-the-loop, and ship fast. We measure results, learn, and expand capabilities (skills, context, autonomy) only when the evidence shows durable value.
Delivery
Maximise value and reduce risk in implementation
We execute through DEPTH: Discover opportunities and readiness, Envision the target flow and controls, Prove value with a measured pilot, Transform by integrating into processes and change management, and Hone via monitoring, tuning and scaled rollout. This de-risks adoption while compounding value release.
We Provide Rapid Pathways to Value
These use cases illustrate where Agentic AI can begin delivering tangible value without requiring large-scale transformation from day one. Each represents a workflow that is high in business impact but also bounded and well understood, making it an ideal starting point. By deploying a Minimum Viable Agent in these areas, organisations can demonstrate quick wins, validate ROI, and build stakeholder confidence while maintaining strong governance and oversight.
This approach de-risks adoption by proving value in controlled environments before scaling to broader, more complex operations. In doing so, it creates a disciplined path into the build–measure–learn cycle—allowing enterprises to compound value, expand capability, and accelerate agentic maturity with confidence.
This approach de-risks adoption by proving value in controlled environments before scaling to broader, more complex operations. In doing so, it creates a disciplined path into the build–measure–learn cycle—allowing enterprises to compound value, expand capability, and accelerate agentic maturity with confidence.
Complex Sales Orchestration
Business Challenge
Managing long and complex sales cycles with multiple stakeholders, approvals, and solution configurations often overwhelms traditional CRM systems. This results in delays, fragmented communication, and lower win rates.
Agent Capabilities
- Analyse past deal patterns to identify success factors.
- Coordinate activities and communications across sales teams.
- Generate tailored proposals and documentation automatically.
- Track competitive intelligence and optimise pipeline forecasts.
Impact
The system reduces administrative overhead, shortens cycle times, and increases win rates. Sales teams can focus on building relationships while the agent ensures accuracy, speed, and consistency in managing complex opportunities.
Account Growth & Retention
Business Challenge
Scaling account management is difficult when churn risks and growth opportunities rely on manual monitoring and fragmented insights. This leads to missed upsell chances and delayed intervention for at-risk accounts.
Agent Capabilities
- Monitor usage, engagement, and health scores.
- Detect early churn signals and expansion opportunities.
- Automate outreach, recommendations, and routine tasks.
- Coordinate proactive interventions across teams.
Impact
Agents identify risks and opportunities far earlier, increasing retention, improving customer satisfaction, and driving revenue growth through better-timed upsells and consistent engagement
Service & Operations Coordination
Business Challenge
Enterprises in regulated or high-volume industries often struggle with customer requests and transactions that span multiple departments. Siloed systems make it hard to deliver seamless service and ensure compliance.
Agent Capabilities
- Route and process requests across products and channels.
- Coordinate complex investigations and multi-team responses.
- Automate service documentation and compliance checks.
- Monitor anomalies and trigger alerts in real time.
Impact
Agents reduce resolution times dramatically, improve compliance, and boost satisfaction by orchestrating workflows across silos. Complex multi-party requests are resolved faster, with higher accuracy and transparency
Fraud Detection & Risk Management
Business Challenge
Traditional rule-based systems fail to keep pace with increasingly sophisticated fraud tactics, generating false positives that consume investigator time and miss coordinated attacks.
Agent Capabilities
- Monitor transaction patterns in real time across systems.
- Correlate signals to identify subtle, multi-account fraud patterns.
- Automate investigation packages and audit trails.
- Trigger coordinated response actions across departments.
Impact
Fraud detection rates improve, false positives decline, and investigators work more efficiently. Enterprises cut financial losses and reduce response times from hours to minutes while maintaining full regulatory compliance
Insurance & Claims Processing
Business Challenge
Claims often involve multiple parties, providers, and documents, which traditional systems cannot easily manage. This creates long processing times, high error rates, and customer dissatisfaction.
Agent Capabilities
- Analyse documentation and images using AI.
- Cross-check claims against policy coverage.
- Coordinate service providers, adjusters, and claimants.
- Detect fraud patterns and maintain compliance.
Impact
Processing times are reduced, accuracy improves, and satisfaction scores rise. By orchestrating all parties and automating repetitive tasks, the agent delivers faster, more transparent, and more reliable claims outcomes
We don’t just deliver agents — we deliver outcomes. From identifying the right processes to scoring opportunities, deploying pilots, embedding governance, and scaling enterprise-wide, NowVertical ensures your Agentic AI journey delivers measurable ROI.
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We Provide Rapid Pathways to Value
Trusted data environment
When information is standardised, governed, and enriched with context, agents are able to reason more accurately and reduce error rates.
Interoperable architecture
API-driven connections across enterprise systems enable agents to orchestrate workflows seamlessly rather than working in silos.
Embedded safeguards
Built-in identity, access, and security frameworks provide the confidence to safely increase autonomy while maintaining compliance and oversight.
Operational resilience
Monitoring, logging, and scaling services allow agents to perform consistently under pressure, adapt to spikes in demand, and remain transparent.
Reusable patterns
Common approaches to integration, orchestration, and governance reduce friction, shorten deployment cycles, and allow agentic capabilities to expand more quickly across the enterprise.
We Provide Rapid Pathways to Value
To capture value safely and at scale, enterprises move through levels of automation. This maturity curve ensures adoption grows in line with governance, risk appetite, and data quality.
Level 0
Complex Sales Orchestration
Processes run entirely through human effort, with no automation.
Automation Progress
0%
Level 1
Rule-Based
Deterministic automation: if a trigger occurs, a predefined response is executed.
Automation Progress
20%
Level 2
Intelligent Processes
Systems incorporate AI for adaptive decision-making in structured contexts.
Automation Progress
40%
Level 3
Agentic Workflows
Agents orchestrate across multiple systems, goals, and departments.
Automation Progress
60
Level 4
Semi-Autonomous
Agents handle high autonomy with oversight and escalation points.
Automation Progress
80
Level 5
Fully Autonomous
Goal-driven networks operate with minimal human involvement.
Automation Progress
100
What This Means For Business
By mapping the right model of agent to the appropriate level of automation, enterprises can achieve strategic advantage.
1
Unlock early wins through transactional and repetitive processes
2
Progress responsibly into more judgement-based and collaborative workflows
3
Build toward adaptive, orchestrated systems that deliver sustained competitive advantage
The Path Forward
This balance of pragmatism and ambition is what allows Agentic AI to move from hype into value — creating a clear path from today’s manual processes to tomorrow’s intelligent, orchestrated enterprises.
Ready To Explore Agentic AI For Your Business?
Discover how autonomous AI agents can transform your enterprise workflows and drive measurable outcomes.
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