In a world where data complexity, speed, and customer expectations define competitive advantage, generic AI pilots are no longer enough. Experiments with disconnected tools and unsecured models limit impact and increase risk.
We help enterprises move beyond hype to deliver governed, GenAI-powered solutions that unlock insight, automate processes, and create content — all tied to measurable business outcomes.
Replace isolated pilots with integrated, workflow-native AI that learns, adapts, and delivers results enterprise-wide.
Use advanced language models, tuned to your business, to analyse unstructured data, generate narratives, and support faster, better decisions.
Deploy AI with built-in governance, security, and transparency so boards, regulators, and customers can trust the outputs
Many enterprises have piloted LLMs, yet few have crossed from novelty to P&L impact. Why? Most initiatives stall because tools don’t learn, don’t fit real workflows, and don’t integrate cleanly. External partnerships that co-design around business outcomes outperform internal builds, and the biggest (often overlooked) ROI sits in back-office and process automation—not just front-office experiments.
Enterprise GenAI isn’t a single model or API — it’s an interconnected architecture of models, retrieval layers, orchestration, and controls that work as a coherent system. At NowVertical, we are model-agnostic, business-aligned, and safe by design.
Modern frontier models (OpenAI GPT, Anthropic Claude, Gemini, Mistral, LLaMA, etc.) already handle text, vision and other modalities.
Core reasoning and generation — interpreting context, surfacing insights, producing narrative or structured outputs.
Can run out-of-the-box or be lightly adapted with your data and workflows, depending on governance and latency requirements.
This is the “thinking” layer that powers analysis, decision support, and content creation.
Even the best models need current, enterprise-specific context.
Dynamically retrieve and inject relevant internal knowledge and history into prompts.
Vector search indexes (Pinecone, Weaviate), orchestration frameworks (LangChain, LlamaIndex) and memory stores for continuity across interactions.
Keeps outputs truthful, contextual, and explainable with citations and audit trails.
Insight without execution is just more reports.
Chain model outputs into workflows that trigger actions across your existing systems (e.g., CRM, ERP, BI).
Composable orchestration layers (LangChain, Semantic Kernel, emerging MCP/A2A standards) with human-in-the-loop where oversight is required.
Embeds GenAI where work actually happens, ensuring adoption and ROI.
Trust is table stakes for enterprise deployment.
Apply controls such as policy filters, PII redaction, moderation, cost/latency monitoring, and continuous evaluation for bias and accuracy.
Transparent, auditable AI aligned with regulatory, ethical and brand standards — not a black box.
Human supervision and post-deployment monitoring ensure systems improve safely over time.
Different industries and regions have different compliance and security needs.
Deploy the above stack in the right environment — SaaS, private cloud, on-prem, or hybrid.
Data boundaries and encryption by default, with clear auditability and vendor flexibility.
Generative AI is only as safe and effective as the data it’s built on. If your data estate is fragmented, unclassified, or exposed, the risk of bias, breaches, and compliance failures grows exponentially.
Identify PII and confidential assets across cloud and legacy systems.
Minimise your data footprint and enforce granular access controls.
Align AI workflows with GDPR, HIPAA, SOC 2 and other frameworks.
Enterprises have poured billions into GenAI, yet according to MIT’s 2025 research, 95% of initiatives deliver no measurable P&L impact. The issue isn’t model quality—it’s the failure to integrate AI into workflows that learn, adapt, and improve over time. Tools like ChatGPT enhance personal productivity, but enterprise pilots stall due to brittle workflows and lack of memory.
At NowVertical, we help organisations cross this “GenAI Divide” by focusing on systems that integrate with your business context, adapt through feedback, and deliver tangible outcomes across insight, automation, and content.