AI Business Consulting
Built for Measurable ROI
Most AI projects fail not because of the technology, but because the strategy is wrong before any code is written. AIG's AI business consultants help you pick the right use cases, sequence the work, and measure ROI from the first 30 days — not the last.
AI Consulting Services for Every Stage
From the first readiness conversation to scaled enterprise AI programs, we work with leadership teams who need AI to produce measurable business outcomes, not slide decks.
AI Strategy and Roadmap
Translate business goals into a sequenced AI roadmap with quantified ROI at each milestone. We pressure-test vendor pitches, identify the 3 to 5 use cases that will actually move the needle, and lay out a 12-month plan your CFO can sign off on.
- Use case prioritization and scoring
- Build vs. buy vs. partner decision framework
- 12-month implementation roadmap
- ROI model and milestone definitions
AI Readiness Assessment
A scored 12-dimension assessment of your data, team, processes, and tooling against the AI use cases you're considering. You get a written report with a 90-day quick-win plan and a clear list of what to fix before you spend on AI infrastructure.
- Data infrastructure readiness score
- Team capability gap analysis
- Process maturity evaluation
- 90-day quick-win roadmap
AI Implementation and Integration
Hands-on delivery oversight for the AI systems you decide to build. We manage the implementation partner, vet the tooling, and keep the program honest about scope, timeline, and ROI. AIG's software development team can build the systems when you're ready.
- Vendor and tool selection
- Implementation partner oversight
- Data pipeline and integration architecture
- Custom AI development (RAG, agents, copilots)
AI ROI and Performance Measurement
Define success metrics before any AI goes live. We instrument the systems, build the dashboards, and run quarterly ROI reviews with your leadership team. Every AI investment is tied to a measurable business outcome, not a vanity metric.
- KPI framework per use case
- Operational and financial dashboards
- Quarterly ROI reviews
- Model performance monitoring
AI Governance and Compliance
Build the policies, controls, and oversight structure your AI program needs to scale without surprises. We help regulated industries (healthcare, financial, legal) implement responsible AI practices that satisfy regulators and protect your brand.
- AI policy and usage frameworks
- Risk and bias assessment
- Data privacy and compliance
- Model audit trails and documentation
Fractional AI Leadership
For companies that need a senior AI leader but aren't ready for a full-time hire. AIG places a fractional Head of AI to set strategy, manage vendors, run the AI steering committee, and recruit your first full-time AI hire when the time is right.
- Senior AI advisor embedded 1-3 days/week
- Steering committee design and facilitation
- AI hiring support and interview design
- Transition plan to full-time leadership
How an AIG AI Engagement Works
Five phases. Measurable milestones at every step. No 6-month "discovery phases" that produce a deck and a bill.
Diagnose
2-week diagnostic: stakeholder interviews, data audit, current-state assessment. You leave with a clear picture of where AI can and cannot create value in your business.
Prioritize
Score 8-15 candidate use cases on impact, feasibility, and time-to-value. Pick the 3 to 5 that move the needle and deprioritize the rest. CFO-ready business case.
Build a 90-day quick win
Ship one high-value, low-risk use case in 90 days. This proves the methodology, builds internal trust, and funds the next phase from the savings.
Scale the program
Stand up the AI steering committee, governance, and team structure to support 3-5 concurrent use cases across departments. Vendor and tool consolidation.
The AIG Difference in AI Consulting
Most AI consultants sell strategy decks. We build working AI, run the numbers, and stay until the ROI shows up on the P&L.
Measurable ROI, not decks
Every engagement starts with a quantified ROI target. If we can't put a number on the upside, we don't take the work.
Senior people, not leveraged juniors
The person who scopes your engagement is the person who delivers it. No bait-and-switch to a junior team after the contract is signed.
Build, buy, or partner agnostic
We don't resell a platform. Our recommendations are based on what will work for your business, not our vendor partnerships.
Time-to-value, not time-to-engagement
First measurable outcome in 30-90 days, not 6-12 months. The methodology is built around short cycles and visible progress.
Related Services
AI consulting often pairs with implementation work. Here are the AIG services our AI clients typically add on.
Intelligent Automation
When the AI roadmap calls for workflow automation, AIG builds the bots, agents, and integration layer that connect your systems.
Explore automationSoftware Development
Custom AI applications, RAG systems, AI copilots, and integration software. AIG's dev team builds the systems your AI strategy needs.
See our dev teamCybersecurity
AI systems need the same security and governance rigor as any other production system. AIG's security team covers data privacy, model risk, and adversarial threats.
See security servicesReady to Get AI Right the First Time?
Book a 30-minute call. We'll review your situation, give you an honest read on whether AI is the right next move, and outline what an engagement would look like. No pitch deck, no obligation.
Book an AI Readiness CallFrequently Asked Questions About AI Business Consulting
Answers to the questions we hear most often from leadership teams considering AI consulting.
What is AI business consulting?
AI business consulting is a specialized advisory service that helps companies identify where artificial intelligence can create measurable value, then plan and execute the implementation. AIG's AI consultants cover AI strategy development, readiness assessment, vendor and tool selection, implementation oversight, ROI measurement, and ongoing governance. The work is business-led: every recommendation ties back to a specific KPI and dollar impact.
How much does AI consulting cost in 2026?
AI consulting engagements typically run from $15,000 for a focused readiness assessment to $150,000+ for a multi-phase implementation program. Pricing depends on scope, company size, and whether the engagement is advisory-only or hands-on implementation. AIG scopes each engagement to your actual budget and the ROI targets you need to hit. We will give you a fixed-fee proposal after the initial discovery call so you can decide with full information.
How do I know if my business is ready for AI?
An AI readiness assessment evaluates your data infrastructure, team capabilities, process maturity, and ROI targets against the AI use cases under consideration. AIG's readiness assessment produces a scored report across 12 dimensions with a prioritized roadmap and a 90-day quick-win plan you can act on immediately, regardless of whether you continue with us. Most companies we assess are 60-70% ready in some areas and 20% ready in others. The report tells you which.
What kinds of AI does AIG help implement?
We work across the full 2026 AI stack: AI agents and copilots, workflow automation, retrieval-augmented generation (RAG) on internal data, predictive analytics, computer vision, and AI governance infrastructure. The right mix depends on your data, your team, and the specific business outcomes you need. We do not push a particular platform; we recommend what works.
How long does an AI implementation take?
Time-to-value depends on the use case. A targeted AI agent or copilot can go live in 4 to 8 weeks. A multi-department AI transformation typically runs 6 to 12 months. AIG structures every engagement around measurable milestones so you see ROI from the first 30 days, not at the end. If a vendor or partner is telling you a meaningful AI program needs 18 months before any value, they are overscoping.
What is the ROI of AI consulting?
Clients who engage AIG for AI consulting typically see 3x to 10x ROI within 12 months on the use cases we prioritize. The biggest gains come from automating high-volume operational tasks, accelerating decision cycles with AI-assisted analytics, and freeing senior staff from work that does not require their judgment. Every engagement starts with quantified ROI targets so we know what success looks like before any code is written. If we cannot identify a path to 3x ROI, we tell you before signing the contract.
How is AI consulting different from hiring an AI engineer?
An AI engineer builds models and writes code. An AI consultant figures out which AI to build first, why, and how to measure whether it worked. Most companies do not need another engineer; they need someone senior enough to cut through vendor noise, sequence the work, and keep the program honest about ROI. AIG's AI consultants do exactly that, and can manage implementation teams for you when you are ready to scale.