AI Consulting Services
Harness the full value of AI with 10Pearls AI consulting services, helping enterprises navigate AI adoption and implementation through strategies that reduce risk and maximise ROI.
TURNING AI INTO MEASURABLE VALUE
AI creates lasting value when it is embedded into how an organization operates, makes decisions, and delivers work. However, applying new technology to outdated processes doesn’t result in meaningful transformation.
As an enterprise AI consulting partner, 10Pearls helps organisations close that gap. We work with leaders to prioritise high-impact AI opportunities, assess organizational readiness, redesign operating models and workflows, and establish responsible AI governance. Our AI consulting services turn strategic priorities into coordinated action that improves productivity, strengthens decision-making, and delivers measurable business impact.
Benefits of AI consulting with 10Pearls
Accelerated ROI
Achieve production-ready solutions in weeks, up to 3x faster than traditional AI consulting approaches by sequencing high-value use cases first.
Regulatory confidence
We keep you updated to ever changing governance standards, that's built in from day one, not bolted on after deployment or audit findings.
Reduced risk
Our AI consulting services score every initiative against reversibility, real-world impact, and regulatory exposure, so risk shapes the architecture from day one.
Maximised value
We keep every initiative tied to the business goals, KPIs, and market trends your leadership already tracks, so investment goes toward outcomes.
Our AI consulting services
AI strategy & roadmap development
We identify AI opportunities across your operating model against business KPIs and, prioritise based on value and effort using our Lean Product Accelerator.
AI readiness assessments
Evaluate your data, infrastructure, and governance against what AI-augmented operations require, so every initiative builds on a foundation that's actually ready for it.
AI workflow transformation
Evaluate and redesign business processes, decision points, and human-AI collaboration models around high-value AI use cases.
AI data & integration strategy
Design the data connections, architecture, and delivery plan that move generative and agentic AI initiatives into production, monitored and maintained at scale.
Generative AI & LLM consulting
Bring clarity to your generative AI strategy: model selection, prompt architecture, retrieval design, and integration planning from experienced LLM consultants.
Agentic AI & autonomous agents
Design and orchestrate AI agents and copilots matched to the risk of the decision they support, from human-in-the-loop assistants to autonomous, on-loop agents.
AI governance & regulatory readiness
Establish runtime controls that keep every model, agent, and decision compliant, auditable, and secure mapped to your sector's regulatory perimeter from the start.
What we deliver
Readiness & foundation gap analysis
Assess where your data, infrastructure, skills, and governance stand against what AI-augmented operations require, with gaps sized and ready to close.
Operating model assessment
A clear map of how work actually flows today, across roles, decisions, data, and systems, so recommendations fit your organization instead of a generic template.
prioritised opportunity portfolio
Every candidate use case ranked by business value, delivery effort, and risk, so you know exactly what to fund first.
KPI-linked business cases
A business case for each priority use case, tied to a KPI your leadership already tracks, from margin to cycle time to capacity.
Governance & regulatory readiness plan
Compliance and security controls mapped to your sector's regulatory perimeter, EU AI Act, NIST AI RMF, ISO/IEC 42001, and beyond, built in from the start.
AI transformation roadmap
A sequenced plan that leads with quick wins and builds toward the strategic bets they fund, so strategy turns into a live, measured operating model.
Workforce adoption plan
A coaching approach embedded in live workflows, so your teams change how they work, not just how fast they click through a new tool.
MVP-to-scale delivery plan
The path from first production use case to enterprise-wide scale, including monitoring, model maintenance, and managed operations.
Move from AI strategy to enterprise-wide value
10Pearls ValuePath connects your strategy to production delivery, workforce adoption, and managed operations.
Why enterprises choose 10Pearls for AI consulting
Our experience working with organisations across industries gives us the insight to navigate complex, industry-specific challenges and position your business for long-term success.
AI aligned to your operating model
We start with how your business actually works, not with a technology feature list, so recommendations fit the organization you have, not a generic template.
Outcome-driven AI strategy
Every engagement is anchored to a business KPI your leadership already tracks margin, cycle time, capacity, or risk — not usage metrics or license counts.
Executable AI roadmaps
Roadmaps are sequenced by value, effort, and risk, so you lead with quick wins that build credibility and fund the strategic bets that follow.
Governance & security focus
Compliance and security are designed in from the first sprint. EU AI Act, NIST AI RMF, ISO/IEC 42001, and sector regulations mapped continuously.
Adoption & workforce enablement
We coach your teams inside their live workflows so the people doing the work actually change how they operate, not just how fast they use a new tool
Strategy-to-scale delivery
One integrated team carries the engagement from assessment through governed production and ongoing managed operations.
Real business outcomes from our work
85%
Conversion rate growth
85% conversion rate growth Predictive behaviour models helped a fintech client boost customer acquisition.
120%
Increase in engagement
Personalised recommendation
engines doubled user interaction
and retention.
60%
Improvement in diagnostics
AI imaging analysis tools enabled faster detection of early-stage medical conditions.
95%
Accuracy in quality control
AI-powered inspection systems cut labour costs while improving defect detection.
35%
Supply chain waste reduction
Machine learning forecasting optimised inventory and improved delivery speed.
67%
Shortened response times
AI chatbots and ticket routing
reduced support times from
24 hours to 8 hours.
Our approach
1. Understand your operating reality
Our AI consulting services start with assessing your existing workflows, roles, friction points, data, technology, governance, and regulatory requirements.
2. Identify the right AI opportunities
For each priority process, we determine where AI can automate tasks end-to-end, help solve complex decisions, or evolve the process itself into something more valuable.
3. Prioritise investment around business value and risk
We build the business case for each candidate, define its KPI, score its delivery effort, and layer in risk, developing a sequenced roadmap that leads with high-value, low-effort wins.
4. Move from strategy to governed implementation
Carry the roadmap into risk-matched delivery, governance, and ongoing optimisation, so strategy becomes a live, measured operating model, not a deck on a shelf.
You are in great company
AI consulting case studies
case study - TECHNOLOGY
Healthcare Support Platform with Agentic AI
10Pearls developed an agentic AI virtual assistant designed to enhance caregiver support through multilingual support, sentiment analysis, and a sophisticated knowledge management system.
case study - artificial intelligence
Automated Object Detection System
Streamlining property appraisals with an AI-driven platform that automates image analysis and object detection for greater speed and precision.
case study - fintech
Agentic AI Financial Assistant
Optimizing financial operations with an AI-powered smart assistant designed to automate workflow and enhance decision-making.
artificial intelligence - Case study
AI-Powered Precision Agriculture
Driving innovation in agriculture technology by delivering precise microclimate insights from AI-powered prediction models.
case study - artificial intelligence
AI-Powered Facial Recognition System
Delivering faster and more accurate genealogy matches with a cutting-edge facial recognition system, powered by machine learning.
Insights
AI/ML
Oracle Agentic AI: Inside Integration Cloud 26.04
The OIC 26.04 release marks the evolution of Oracle agentic AI, turning OIC into an agent orchestration layer and moving...
AI/ML
Build and Scale Production ML Pipelines with Databricks MLflow
Building ML pipelines with MLFlow in Databricks can give enterprises already invested in the platform a more governed, repeatable path...
AI/ML
Shadow AI detection and prevention in enterprises
Turn agentic AI from an experimental concept into a production-ready capability with guidance on architecture, development, evaluation, deployment, observability, and...
AI/ML
AI vs ML vs Deep Learning an Enterprise Guide
From automation to predictive analytics, AI, ML, and deep learning serve different purposes. Understand the differences and choose the right...
AI/ML
Measuring AI Investments’ ROI | Framework for Enterprise Leaders
Learn how to measure AI ROI with a practical framework covering cost savings, revenue growth, risk reduction, productivity, strategic value,...
AI/ML
Agentic AI Implementation: How to Build AI Agents
Turn agentic AI from an experimental concept into a production-ready capability with guidance on architecture, development, evaluation, deployment, observability, and...
AI/ML
Take agentic AI from promising idea to production-ready capability with a practical framework for building reliable agents, managing risk, and...
AI/ML
Building an AI Integration Strategy
Learn a practical 9-step AI integration framework to define outcomes, overcome organizational barriers, measure ROI, and build AI solutions that...
AI/ML
AI Agent Authorization: Governing Autonomous AI
As AI agents are granted more autonomy across enterprise systems, organizations need to define what agents can access and what...
AI/ML
Agentic AI in the Telecom Industry
The telecom industry is embracing agentic AI for multiple operational and customer-facing use cases, while navigating legacy systems, integration, and...
FAQs about AI consulting with 10Pearls
What is AI consulting, and what's included?
AI consulting services are strategic process of identifying where AI can create real business value, then building the roadmap, business case, and governance plan to get there safely. 10Pearls offers AI readiness assessment, use-case discovery and prioritization, strategy and roadmap development, data foundation planning, governance and regulatory readiness, and workforce enablement.
What business problems and use cases can AI consulting solve?
AI consulting helps you answer the question technology alone can’t: Common use cases include:
- AI underwriting automation in insurance
- Clinical documentation and revenue-cycle optimization in healthcare
- Predictive maintenance and quality control in manufacturing
- Fraud detection and compliance in banking
- Customer experience and demand forecasting across retail and telecom.
How much do AI consulting services cost, and what determines the price?
Cost depends on scope: a targeted AI Readiness or AI Transformation Assessment runs weeks, not months, while a full strategy-to-scale engagement is sized to the number of use cases, the complexity of your data and systems, and the depth of governance your sector requires.
How do we choose the right AI consulting partner, and what should we look for?
Look for the right AI consulting partner starts with your operating model. Your partner should tie every use case to a business KPI, addresses governance and compliance, and carry engagement from strategy into real, production-grade implementation rather than handing you a slide deck and a referral.
Which industries and company sizes do you work with?
We work with enterprises across healthcare, financial services, insurance, manufacturing, energy, telecom, retail, and technology. From organizations running their first AI initiative to global enterprises operating regulated, multi-jurisdiction AI estates.
Do you build custom AI solutions, agents, and copilots, or only advise?
Both. Our AI consulting services define the strategy, business case, and architecture; our AI development and engineering teams then build and deploy custom AI solutions, generative AI applications, and agentic AI systems.
How long does a typical AI engagement take before we see results?
A focused AI Transformation Assessment typically takes 4–6 weeks and delivers a prioritized roadmap. A first production use case can go live in as little as 3 months. Full-scale engagements that reshape the operating model run longer, but are sequenced so measurable KPI movement starts with the earliest quick wins, not at the end of the program.
What engagement models do you offer?
Dedicated teams, project-based delivery, and hybrid approaches, with nearshore support for cost-effective, timezone-aligned execution.
Do we need in-house AI experts?
No. We can lead end-to-end or collaborate with your existing teams for knowledge transfer, depending on how much internal capability you want to build.
How do you ensure data security?
Our security-first approach includes encryption, zero-trust frameworks, and compliance with HIPAA, PCI DSS, GDPR, and other relevant regimes, with identity and policy enforcement built into every AI system we help design.
How do you measure success?
We define clear KPIs at the start of every engagement from ROI and cost savings to adoption and accuracy — and track both technical and business impact throughout, so success is measured in outcomes your board recognizes, not vanity metrics.
Make AI work across your enterprise
Build a clear, governed path from prioritised opportunities to scalable adoption with an AI consulting partner that understands strategy, operating models, data, and delivery.