How is decision intelligence different from business intelligence?

Decision intelligence builds on business intelligence (BI). The technology makes future predictions. BI provides reports related to the past.

How is decision intelligence different from predictive analytics?

Decision intelligence helps make better decisions. Predictive analytics predicts the future with the help of historical and current data.

Does decision intelligence replace human decision-making?

No, it does not. Decision intelligence is used to help humans make informed decisions. The final call can only be made by humans

What business functions benefit most from decision intelligence?

Business functions that achieve maximum benefit from DI include hiring, inventory management, dynamic pricing, and others

What data is required to build a decision intelligence system?

Historical, real-time, internal, and external data are consolidated to develop a decision intelligence system. The data should not have mistakes or duplicate entries.

Can decision intelligence systems work with existing ERP and CRM platforms?

Yes, they can. Note that decision intelligence systems usually do not replace any existing ERP and/or CRM modules.

How do decision intelligence systems improve forecasting accuracy?

Decision intelligence systems reduce human bias and mistakes. Mature feedback models are used to improve forecasting accuracy.

Can decision intelligence solutions be built using existing business data?

Yes, they can. The data is sourced from the business’s CRM and ERP systems. Other sources include historical and proprietary data.

How do you ensure transparency in AI-driven recommendations?

We ensure transparency through explainable AI (XAI) methods, decision audit trails, and documented model logic. Your team can trace exactly how and why a recommendation was made.

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AI-powered Decision Intelligence Systems for Decisive Actions

Blend data science, AI models, and decision theories to reduce human bias and improve decision quality with AI-powered Decision Intelligence systems.

Blend data science, AI models, and decision theories to reduce human bias and improve decision quality with AI-powered Decision Intelligence systems.

Turn your enterprise data into competencies for real-time decision-making that your competitors can’t match.

Decision intelligence (DI) reduces bias in decision-making by unifying scattered business data into a unified repository for data analysis. The insights obtained improve decision quality and expedite decision-making. We at SHALIGRAM develop AI-powered decision intelligence systems that help businesses respond proactively to market dynamics and trend changes.

As per Grand View Research, the worldwide decision intelligence market size was estimated to be around USD 20.7 billion in 2026 and will reach 53.2 billion dollars in 2033 at a CAGR of 14.4%. Businesses can compete better with their counterparts by using AI capabilities and data-driven insights.

Business challenges that lead to poor decisions

Disconnected data

Eliminate data silos with integration of existing data into unified repositories.

Slow decision-making

Ramp up the pace of making decisions via our decision science systems that eliminate mundane processes

Inconsistent decisions

Catalyze consistency in decisions by creating reliable, consistent data pipelines that retain critical data.

Limited visibility

Scale up visibility of your enterprise-wide data and establish a system to retrieve data as needed from all departments.

Reactive operations

Make quick decisions based on changing market conditions or real-time business occurrences

Forecasting uncertainty

Precisely predict the future by harnessing AI-powered decision solutions

Human bias

Efficiently eliminate the bias associated with human decision-making by developing AI models that make prejudice-free decisions

Missed opportunities

Seize each opportunity with automated decision-making systems that are quick to identify market opportunities.

Growing business complexity

Simplify organizational complexity with AI-powered decision science tools that simplify stage-by-stage decision-making.

Decision intelligence solutions tailored to your business

SHALIGRAM builds executive decision support systems that help executives (CEOs, CFO, CTOs) make timely decisions. Our executive decision-making dashboard systems give these key decision-makers a single view of organizational data. With combined AI-led data analytics and insights, executives can make tactical, strategic, and operational decisions expeditiously.

Gives useful recommendations
Assesses business risk
Provides insights to executives

We build operational intelligence platforms that give operations managers and COOs a live, unified view of enterprise data. Our real-time operational dashboards process transaction logs, sales data, finance data, procurement data, and sensor feeds to help operations managers make quick operational decisions.

Give explainable recommendations
Make intelligent decisions
Ramp up operational efficiency

We design predictive decision systems for business personnel who need to make forecast-based decisions. For instance, production managers, supply chain managers, and finance teams who need to act on forecasts benefit from smart AI-based decision intelligence systems that automate such decisions based on threshold changes.

Predict demand accurately
Learns from earlier decisions
Examines different scenarios

Our team creates financial decision support systems for CFOs, finance teams, and financial risk managers to enable accurate, real-time decisions on capital allocation, financial transactions, cash flows, and more. DI leads to fast and accurate financial forecasting. Businesses benefit from smarter investment decisions.

Powers informed financial decisions.
Eliminates uncertainty in finance-related decisions
Allocates resources better

Shaligram team is adept at building customer intelligence platforms for CMOs, customer success teams, customer support and grievance handling officers, and sales heads who need to act swiftly on customer signals. Our platforms analyze purchase history, support tickets, and sentiment data to make churn-prevention decisions in real-time.

Forecast customer behavior
Superior customer retention
Improve marketing campaigns

We build supply chain decision systems for logistics and warehouse managers that aid in evaluating potential suppliers, deciding on warehouse layout, and determining staffing/fleet needs. These DI systems keep track of shipment data, supplier performance, and fleet data to make decisions for efficient and disruption-free supply chains.

Awareness of potential disruptions
Advise corrective actions
Decide on warehouses

Our team designs scenario planning solutions that help enterprises and their scenario planning teams to prepare for unseen situations. Decision-making systems with ‘what-if’ training models and ‘scenario simulations’ can help make faster, accurate decisions to plan better for acting during unforeseen situations.

Determine how different scenarios affect profits.
Utilize modern predictive models
Make data-driven decisions

Our numbers reflect our commitment

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From enterprise data to intelligent decisions

Data collection

We collect data from sources that are important to your organization's decision-making process. The next step is to integrate all the data into a single format. Our strategic decision intelligence systems extract data in real-time from your ERP ecosystem, customer touchpoints, and even public domain data.

Data unification

We unify the collected data from across your organization into a clean, governed, cross-functional intelligence repository. The data is unified as per its structure, relevance, and requirements for a particular decision-making process.

Pattern analysis

We build DI systems that identify any repeating trends, patterns, and structures hidden in the consolidated data. The systems are capable of arranging the findings into different well-defined groups. These patterns are the basis for identifying profitable emerging trends before they are detected by your competitors.

Outcome prediction

Our advanced AI decision systems use the current data, identified patterns, and machine learning models to predict your business outputs. Each prediction carries a confidence score, so decision-makers know exactly how much weight to give it.

Action recommendations

We recommend the necessary decisions at this stage. Examples include providing risk scores and launching automated workflows. Every recommendation comes with the reasoning behind it, along with the risks associated with such decisions.

Decision optimization

We select the best decision from several possibilities. This is achieved by utilizing AI technology. We factor in cost, risk, and business constraints together, so the system always decides to choose the best decision (the most profitable one) from a set of possible decisions.

Business outcomes delivered through decision intelligence systems

Faster decisions

DI systems directly generate the decision that you need to make based on extensive analysis of data patterns. It shortens the decision cycle and helps businesses go ahead of competitors.

Better forecasting

DI systems are very effective in forecasting, and even the forecasts are updated if market dynamics change abruptly. This enables businesses to plan better for the future instead of acting late due to static data.

Reduced risk

DI systems score risk factors based on short-term, medium-term, or long-term risks and tactical/strategic risks. This lets businesses identify and act early on risk areas based on priority, severity, and timeline.

Improved visibility

Get a better view of business operations. Better visibility helps enterprises spot problems faster. DI dashboards have features for audit trails where any decision can be traced back to the exact data and pattern that triggered it.

Higher decision accuracy

The facility of superior decisions helps organizations to be more productive. The probability of poor decisions diminishes. Each recommendation carries a ‘confidence score’, ‘trust score’, ‘priority score’, etc., so decision-makers know how much to trust it before acting.

Smarter resource allocation

Resource allocation is more effective and efficient. The result is less wastage of precious resources. DI systems weigh cost, risk, and constraints together to allocate any resource required as per the significance of the decision itself.

Increased profitability

SHALIGRAM’s expert AI engineers develop future-compatible decision intelligence solutions that translate to direct profits and better business outcomes. Businesses are at low risk of losing key profit opportunities/deals once their DI systems are active.

Greater operational agility

Contemporary enterprises face high competition. Hence, they need to be more agile. Decision intelligence systems help them achieve better agility. No need to wait for the next business cycle for key changes.

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AI capabilities that power decision intelligence systems

Machine learning

Our decision intelligence systems employ machine learning’s reinforcement learning models to learn from historical and live data. This feature helps enterprises make decisions independently by deploying ML algorithms for classification, clustering, and structuring data.

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Our decision intelligence implementation process

Business assessment

We first examine the financial condition of the organization. Next, we perform a SWOT analysis. Our team benchmarks your enterprise against industry standards.

Decision mapping

We define the problem that has to be solved. The different paths that lead to a solution are determined. Finally, we identify the business outcomes and risks.

Data integration

We eliminate existing data silos. Our team combines structured and unstructured data. We also perform real-time data streaming.

Model development

We develop predictive models utilizing machine learning and analytics techniques. These models enable efficient data-driven decision-making.

Solution implementation

Our team clearly outlines the decision. We build decision support tools and provide the right suggestions to decision-makers.

Validation and optimization

We perform data validation and ensure decision pathways are transparent. Our team employs algorithms and factors in constraints to choose the single best action.

Recent projects & case studies

From startups to enterprises – see how our expertise in software consulting and development in the USA has led to measurable impact across industries.

Custom CRM with live FX rates, telecoms & sales intelligence

Transfer Connex is a UK-based financial services/FinTech company that helps businesses manage international payments, foreign exchange (FX), multi-currency accounts, and business funding.

Industry

Fintech

Technologies

.Net

Challenges

Limitations of off-the-shelf CRMs
Fragmented system operations
Manual data overhead
Lack of call-to-CRM linkage

Business impact

Improved call-to-CRM linkage
High-volume transaction capacity
Accelerated deal execution
Real-time leadership insights

View case study

Custom CRM with live FX rates, telecoms & sales intelligence

Transfer Connex is a UK-based financial services/FinTech company that helps businesses manage international payments, foreign exchange (FX), multi-currency accounts, and business funding.

Industry

Fintech

Technologies

.Net

Challenges

Limitations of off-the-shelf CRMs
Fragmented system operations
Manual data overhead
Lack of call-to-CRM linkage

Business impact

Improved call-to-CRM linkage
High-volume transaction capacity
Accelerated deal execution
Real-time leadership insights

View case study

Decision intelligence solutions across industries

Manufacturing

We build custom DI solutions that help manufacturers make decisions regarding business continuity and the production process. SHALIGRAM’s decision intelligence system implementations for the manufacturing industry offer better inventory management, material planning, raw material procurement, and production forecasting. Also, these DI systems can flag machine failures before they occur based on usage data.

Healthcare

We create decision intelligence systems that help healthcare providers make the right decisions in emergencies. Hospitals can make quick and accurate decisions to improve patient experiences. SHALIGRAM’s decision intelligence system implementations for the healthcare industry integrate with their current electronic health record systems and research data to support healthcare planning or clinical decision-making.

Fintech

SHALIGRAM’s decision intelligence system implementations for the fintech industry help with critical and everyday decision-making for financial compliance, KYC, and AML workflows, etc. We build decision intelligence systems that ramp up portfolio performance and maximize profitability. Our DI systems help transform digital payments and achieve secure online banking in remote areas.

Logistics

We develop decision intelligence systems for the logistics industry that extract, clean, and analyze fleet data, driver dashboard data, and GPS data to make decisions for improving routes, driver performance, and save fuel costs. We develop custom DI systems that offer real-time visibility into the entire supply chain and improve the success rates of meeting deadlines related to shipments.

BFSI

Our decision intelligence applications support decisions on insurance claims. DI tools identify and avert dubious claims. Banks can make better decisions on mergers and acquisitions using our DI tools. Decision intelligence models can be successfully implemented for underwriting, loan approvals, credit assessments, etc. Our systems also flag anomalous transaction patterns that signal fraudulent practices.

Real Estate

Our decision intelligence systems help make the right decisions in the real estate domain. Our DI solutions help make decisions regarding the selling and buying of properties. They also help make informed decisions related to dynamic pricing. SHALIGRAM’s decision intelligence system deployments for the real estate industry can automate decisions related to buy/sell of properties, location selection, etc.

Retail

SHALIGRAM’s DI solutions help make the right decisions in inventory management and demand forecasting for supermarkets, retail chains, retail liquidation companies, and big box retailers. Informed decisions give businesses a competitive edge and increase profit. From planning SKU-level inventory to replenishment and shelf-space decisions, make all decisions accurately & swiftly

Food and Beverages

SHALIGRAM’s decision intelligence system for the food and beverages industry tracks cold-chain temperature data, expiry data, product ingredients, etc., to make decisions to prevent wastage. Our decision intelligence solutions help the food and beverages sector meet quality standards and prevent associated legal penalties.

Oil and Gas

Our decision intelligence solutions help make informed decisions on locations to drill for oil and gas. The DI tools are effective in deciding what to do in emergency scenarios and in incidents of equipment failure. DI systems can conduct real-time analysis of seismic data to guide drilling-location decisions.

Why do enterprises choose SHALIGRAM for decision intelligence solutions?

We build decision intelligence-related solutions that cater to entities in different business and technical domains. Our team strives to provide stellar quality and implement mature business processes. SHALIGRAM prioritizes measurable business value over technologies each time.

Makes scalability easy and quick
Adapts seamlessly with legacy infrastructure
Integrates flawlessly with business ecosystems
Delivers superior ROI each time

We assist you in designing and deploying industry-ready and world-class decision intelligence systems.

FAQs

A decision intelligence system is software that uses data, AI, and analytics to make decisions. The tool helps organizations to make informed decisions.