Industrial policy is back — and the race to the…
AI for mid-sized Enterprises: Turn Potential into Impact
From the first use case to production deployment, Sia helps organizations capture value faster while maintaining alignment with business priorities, governance requirements, and operational realities.
01 Common challenges
Large enterprises have armies of data scientists and multi-year transformation programs. AI-native startups are building from scratch with no legacy to manage. Mid-sized companies are caught in between - enough complexity to slow things down, not enough resources to move fast.
The result: AI pilots that never leave the proof-of-concept stage. Vendor tools that don't connect to how the business actually runs. Consultants who deliver a roadmap and disappear. We work differently.
Key insights from our clients
“We launched AI pilots, but none delivered tangible business impact.”
“We know AI matters, but we lack a clear roadmap and prioritization framework.”
“Our competitors are accelerating. We need to move quickly without creating disruption.”
"We don't have an AI team internally - and we can't afford to build one before we start."
In most cases, the challenge is not the technology itself. It is the ability to prioritize the right opportunities, align stakeholders, and execute effectively at scale.
02 Our differentiators
We're not a traditional consultancy firm. We're not a software vendor. We bring integrated teams - AI engineers, data scientists, and transformation specialists - who build with you, not for you. We don't hand over a report. We hand over something running in production.
03 How Sia can help
We design, build, and deploy AI solutions end to end
We focus on operational AI systems that generate measurable business outcomes — not disconnected proofs of concept or theoretical strategy exercises.
/ Assess
We evaluate your AI maturity across data, technology, governance, operating model, and business priorities.
Within two weeks, we provide a clear assessment of opportunities, constraints, quick wins, and high-value use cases, alongside a pragmatic action plan.
/ Build
We develop production-ready AI solutions tailored to your business environment and integrated into your existing ecosystem.
From AI agents and workflow automation to advanced analytics and generative AI use cases, our teams combine business expertise with deep technical capabilities.
/ Scale
We help organizations industrialize AI adoption across functions and business units.
This includes governance, change management, operating model design, capability building, and long-term adoption — ensuring your teams can sustain and scale AI initiatives independently.
Our expertise
Sia combines strategic consulting capabilities with hands-on execution expertise.
We are neither a traditional consultancy delivering static recommendations nor a software vendor focused solely on implementation.
We work alongside your teams from strategy through deployment to ensure solutions deliver measurable value in production.
Where we bring value
- Deep sector expertise across financial services, energy, technology, life sciences, consumer goods, retail, and industrial sectors
- Integrated multidisciplinary teams combining AI engineers, data scientists, cybersecurity specialists, designers, and transformation experts
- A library of more than 1,000 reusable AI assets, accelerators, and components developed through real client engagements
Our Tech Partnerships
Sia leverages world-class technology partnerships to turn AI into tangible business outcomes. Certified by AWS in generative AI, partnered with Databricks to deploy AI agents on enterprise data, and integrating the most advanced models from Anthropic and OpenAI, Sia commands the full AI value chain.
Our recent investment in Lemrock, a pioneer in agentic commerce infrastructure, reinforces this ambition: anticipating tomorrow's use cases and making them operational today. From strategy to production, we orchestrate the best technologies to deliver measurable performance at scale.
Customer Success Stories
30% reduction targeted in broker response time through AI-powered assistants
Supported an insurance brokerage group in launching its first high-impact agentic AI use cases: a Broker Assistant to accelerate case handling and an Insured Assistant to improve customer support.
Sia framed, designed, prototyped, and industrialized the priority use cases by leveraging AWS Bedrock and AgentCore, while also mobilizing AWS funding mechanisms to accelerate delivery and reduce investment effort.
200 employees onboarded to ChatGPT Enterprise in 2 months
Supported a global industrial flooring manufacturer in defining its AI roadmap and selecting OpenAI ChatGPT Enterprise as the target Generative AI solution for business users.
Sia structured the deployment plan, supported governance and adoption principles, and helped roll out 200 licenses within two months to accelerate productivity across key business functions.
15% increase targeted in online conversion through AI-guided product recommendation
Supported an online tyre retail actor in improving customer experience and sales efficiency through a conversational assistant able to guide both expert and non-expert users.
Sia designed an agentic chatbot connected to the company’s product catalogue and existing MCP tools, combining natural language search, RAG capabilities, guardrails, monitoring, and production readiness. The initiative leveraged AWS technologies and AWS funding mechanisms to accelerate delivery and scale the solution for high-traffic usage.
30% reduction in analyst workload on selected knowledge-intensive processes
Supported a leading financial services group in redesigning operational workflows through AI-powered digital coworkers.
In partnership with Anthropic, Sia launched a transformation program focused on workflow redesign, delegation logic, and productivity acceleration. High-value processes were reconstructed into multi-step AI workflows using Claude Cowork, while dedicated skills, playbooks, and business connectors were developed to ensure consistency, governance, and scalable deployment across teams.
10% improvement targeted in costing accuracy through AI-powered analytics
Supported a global industrial technology company in turning AI strategy into measurable business value, with a strong focus on costing optimization.
Sia identified and prioritized 145+ AI use cases across business functions, before moving from roadmap to execution through a targeted costing optimization use case on Databricks. The mission combined process analysis, data exploration, pain point qualification, and proof-of-value development to improve cost driver understanding, data reliability, and predictive costing capabilities.
04 Our offers
AI Diagnostic - 2 weeks
Gain clarity before committing.
We assess your organization’s AI maturity, identify high-value opportunities, and define where to focus first.
You receive a clear, actionable assessment with prioritized recommendations and concrete next steps.
AI Roadmap — 4 to 6 weeks
Structure a scalable AI program.
We design a prioritized roadmap aligned with your business objectives, operational constraints, and investment priorities.
The result is a realistic transformation plan supported by business cases and execution sequencing designed for long-term resilience.
AI Value Plan — 8 to 12 weeks
Move from strategy to measurable outcomes.
We deliver your first AI use case into production through an end-to-end approach covering design, build, deployment, adoption, and governance.
The objective is simple: accelerate time to value while creating a scalable foundation for future AI initiatives.
What our engagements deliver
And what your organization could gain from this collaboration.
Let's talk about it.
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Kevin Brockman
Seattle Market Leader| Denver
Kevin is an Associate Partner responsible for client growth and delivery in the Denver Market. He is part of Sia Partners Human Resources Transformation practice and brings over 20 years of management consulting experience across multiple industries and global environments.
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Alexandria Mondesir
Vice President of AI Sales | New York
Alexandria Mondesir is VP of AI Sales based in New York within the AI & Data Business Unit. With 15+ years of experience, including roles at McKinsey and Gartner, she partners with enterprise leaders to define, prioritize, & execute data and AI initiatives that deliver measurable business outcome.
- Actuarial & Quantitative Services
- Agentic Engineering
- GEO, AEO and agentic e-commerce
- Data & Artificial Intelligence
