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Generative AI Solutions for Enterprise Results

Put Generative AI to work across your business.

Calance helps you plan, launch, and scale Generative AI solutions that handle documents, data, and routine work so that people can focus on higher-value tasks. We guide you through every step, from determining what works for your team to implementing it and providing ongoing support.

SharePoint Consulting Services

SharePoint is Microsoft’s web-based platform for teamwork and content management. It brings teams, documents, and processes into one secure hub. As part of Microsoft 365, it simplifies creating intranets, libraries, and workflows, so people can share files, track projects, and find insights without switching apps. Calance offers SharePoint consulting services tailored to your organizational needs and processes. Our experienced SharePoint consultants support every phase, from planning and setup to ongoing management, so your teams spend more time on results instead of hunting for information.

Calance empowers businesses to maximize SharePoint’s full potential with structured strategies, seamless integrations, and modern collaboration frameworks.

Our Generative AI Services and Solutions

Calance focuses on practical business impact. We combine consulting, technology, and delivery into a single service model.

Intelligent Document Processing

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Extract information from PDFs, forms, and reports automatically. We handle both structured and unstructured data so your teams spend less time on manual entry and compliance checks.

AI-Enhanced Data Analytics

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Turn raw data into reports, forecasts, and insights. Predictive models help businesses make faster and better decisions without waiting on manual analysis.

GenAI Readiness and Roadmap

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Before adopting a generative AI solution, we evaluate your existing technology, data systems, and team capabilities. Through workshops and reviews, we identify potential gaps and create a phased roadmap with clear timelines, costs, and resource requirements.

AI-Powered Assistants

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AI assistants handle support requests, guide employees, and improve response times across teams.

How We Deliver Results?

We follow a structured, five-step process to make Generative AI adoption smooth and effective

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Understand Your Needs

We work with your teams to identify high-impact areas where AI can make a difference.

Define-pro

Define Use Cases

We focus on opportunities with clear value and measurable outcomes.

Implement-pro

Pilot Quickly

We test solutions in a safe environment with controlled access and clear success benchmarks.

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Deploy at Scale

Once proven, we roll out the solution to larger teams and systems.

Train

Improve Continuously

We monitor, refine, and expand based on performance and business priorities.

Governance, Security, and Responsible AI

Generative AI in enterprises requires robust controls. We design our generative AI services and solutions with security, compliance, and trust at the core.
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The two main enterprise risks with generative AI are data exposure and incorrect outputs. Our approach addresses both by combining strong access controls, private deployments, and custom validation pipelines.
  • We create structured policies that define where AI is allowed, what data can be processed, and how outputs should be reviewed.
  • Access is role-based to limit exposure of sensitive data.
  • End-to-end encryption for inputs and outputs.
  • Private deployment options within your VPC or on dedicated cloud environments.
  • Integration with identity and access management (IAM) systems.
  • Audit logs for every query and response, helping teams track AI-generated decisions.
  • Multi-stage validation pipelines that cross-check outputs against internal data sources.
  • Feedback loops for continuous model fine-tuning.
  • Testing and monitoring for dataset and model bias.
  • Human-in-the-loop review workflows for high-risk scenarios.
  • Controlled retrieval methods like RAG (Retrieval-Augmented Generation) to ground responses in your own data.
  • HIPAA-ready configurations for healthcare.
  • SOC 2-aligned reporting for data access and model activity.
  • GDPR-friendly data routing for global enterprises.

Generative AI Solutions for Enterprise Results

Insights from Industry Experts

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Intelligent Document Processing for Clinical Trials

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7 Ways Generative AI Can Revolutionize Your Cloud ERP System

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Frequently Asked Questions about Generative AI Solutions for Enterprise Results

Should we use off-the-shelf generative AI models or build our own?
For most businesses, starting with off-the-shelf models from providers like ChatGPT from OpenAI, Claude from Anthropic, is faster and more cost-effective. These models are pre-trained and work well for tasks like document analysis, chatbots, and analytics without requiring heavy upfront investment.

However, if your business handles sensitive data or needs domain-specific outputs, custom fine-tuned models can be a better choice. At Calance, we often begin with managed models during pilot phases, then move toward custom generative AI solutions when scale, security, or accuracy requirements demand it.
How do we keep generative AI secure for enterprise use?
Security is one of the most important considerations when adopting generative AI services and solutions. We use private deployments, encrypted environments, and role-based access controls to ensure sensitive data stays protected.

For regulated sectors like healthcare and finance, we also set up compliance-ready configurations such as HIPAA, GDPR, and SOC 2. Every implementation includes audit logs, private routing options, and continuous monitoring to reduce risks of data leaks and unauthorized access.
What are the best first use cases for generative AI solutions?
The best starting points are high-impact, low-risk tasks. Examples include intelligent document processing, summarizing reports, customer support automation, and AI-powered analytics dashboards. These deliver quick, measurable value while introducing AI safely into your operations.

For instance, one of our pharma clients used generative AI business solutions to analyze clinical trial documents, reducing review time by 40%. Starting small and measuring results ensures a smooth rollout before expanding to more complex use cases.
How do we measure ROI from generative AI services and solutions?
Measuring ROI starts with setting clear key performance indicators (KPIs) before deployment. Common metrics include time saved, error reduction, cost per process, and customer satisfaction scores.

At Calance, we track results against your existing baselines to show measurable impact. For example, AI-powered reporting can reduce manual analysis hours, lower compliance costs, and improve decision-making speed—all of which contribute to long-term business value.
Are executives seeing real results from generative AI adoption?
Yes. Recent reports show that most executives believe generative AI solutions will significantly improve business performance in the next few years. Many organizations are already seeing faster decision-making, better compliance, and cost reductions.

Success comes from focusing on specific, measurable use cases rather than broad, unfocused deployments. Industries like insurance, banking, and healthcare are leading adoption, proving that well-planned generative AI business solutions deliver tangible returns.
What are the main reasons why Gen AI projects fall short of expectations?
Research shows that many GenAI pilots never move into production. Forbes notes that as many as 95% Gen AI projects stall at the pilot stage. Often this happens because goals aren’t clear, data isn’t ready, or integration with existing systems is overlooked.

As an IT services provider, we help by making sure the basics are in place — from preparing data and clarifying use cases to planning integration and support. This approach increases the chances that a generative AI project moves beyond the pilot phase and delivers measurable business value in daily operations.