Value, Feasibility and Readiness feed the Decision
AI Strategy & Advisory

AI Consulting Services

Enterprise AI consulting that turns AI ambition into a practical, fundable roadmap. Because AI consulting services help an organization decide what to build before it commits to building it, SDLC Corp covers AI strategy, use case discovery, readiness assessment and governance. Each engagement then ends with a 90-day roadmap your engineers can pick up.

125+ AI Models Trained or Deployed
120+ Enterprise AI Integrations Delivered
125+ LLM Fine-Tuning Implementations Across Clients

Trusted by Fortune Global 500 leaders, governments & top universities across 30+ countries

Powered by leading cloud & AI platforms

Recognized by leading industry reviewers

Awards & industry recognition

What we do

AI Consulting Services We Deliver

Our enterprise AI consulting team moves you from scattered AI ideas to prioritized initiatives with clear business, technical, data and governance requirements.

AI Strategy Consulting

First, define where AI fits in your business and which capabilities matter. We connect AI strategy consulting to your wider technology and transformation goals, so every initiative has an owner, a metric and a reason to exist.

AI Transformation Consulting

AI only pays off when work changes with it. As a result, we plan the operating model, roles, training and adoption steps that turn a working pilot into everyday use across teams.

AI Use Case Discovery

AI use case discovery starts with mapping opportunities across departments and workflows. We then match each one to the right technique: machine learning, computer vision, NLP, generative AI, automation or plain software. In fact, ruling a use case out is part of the job.

AI Business Case and ROI

A credible AI business case starts with a measured baseline. First, we measure your current baseline, then estimate value, effort and running costs, and set the success threshold that justifies moving from pilot to production.

AI Architecture Advisory

Instead of locking you into one provider too early, we set the direction across predictive models, vision, language models, retrieval, agents and enterprise systems.

Explore all 7 AI consulting services

Method

Our AI Consulting Framework and 90-Day Roadmap

Every engagement runs on one repeatable method, and every stage ends in a decision rather than a status update.

Our 5-Stage Method

  1. 01

    Discover

    Priorities, workflows and stakeholders.

  2. 02

    Assess

    Use cases, data, systems, security and readiness.

  3. 03

    Prioritize

    Opportunities by value, feasibility and effort.

  4. 04

    Design

    The architecture, governance model, evaluation approach and pilot.

  5. 05

    Roadmap

    The business case, backlog, milestones and KPIs.

In short, this is the SDLC Value-Feasibility-Readiness (VFR) Method: every use case is scored on value, feasibility and readiness before it reaches the roadmap.

The 90-Day Roadmap

Timelines, however, depend on the organization and use case.

Days 1 to 30

Discover and Prioritize

Stakeholder workshops, workflow discovery, a use case inventory, a data assessment and a first ranking of the opportunities we find.

Days 31 to 60

Design and Validate

Architecture recommendation, technology and vendor evaluation, governance requirements, an evaluation plan, the business case and a defined pilot.

Days 61 to 90

Prepare for Pilot

Implementation backlog, integration plan, acceptance criteria, operating model, ownership, measurement framework and a rollout recommendation.

The Pilot Go/No-Go Decision

First, we agree the evidence needed to scale, change or stop a pilot before it starts. Consequently, the roadmap never turns into a permanent demo. Background: the enterprise AI roadmap guide .

Deliverables

What You Receive from an AI Consulting Engagement

You get decisions and usable artifacts, not slides about AI. The exact set, however, depends on the engagement.

Use Case Portfolio and Prioritization Matrix

Candidate use cases scored across business value, user value, technical feasibility, data readiness, effort, and adoption complexity to create a prioritized shortlist for investment.

AI Readiness Report

A review of current data, systems, integrations, security, infrastructure, teams, and governance, highlighting readiness gaps and the priorities to address before AI work begins.

Architecture Recommendation and Evaluation Plan

Recommended architecture, major components, and a pilot evaluation plan defining how accuracy, safety, latency, reliability, and operating costs will be measured against agreed criteria.

Pilot Roadmap and Executive Business Case

A phased route from proof of concept to production decision, summarizing key business rationale, expected outcomes, risks, investment needs, and leadership considerations for review.

Implementation Backlog

Consulting findings translated into actionable engineering requirements and prioritized tasks, helping delivery teams begin implementation without repeating discovery or reopening agreed scope discussions unnecessarily.

Tell us what you need to decide, and then we will scope the deliverables to match.

Discuss Your Requirements

Results

AI Consulting Case Studies: Strategy to Delivery

Explore our AI consulting case studies to see how AI solutions improve workflows, automate processes, and enhance operational efficiency.

01 / 03 Case Study
Precision Manufacturing Technology

AI Workflow Automation for QuantusTechnik

20 min to 5 min Lead review time

Challenge: Manual checks slowed lead review, machine alerts and reporting.

What we did: Assessed workflows and data readiness, then built lead scoring, enquiry routing, machine alerts and manager summaries.

Result: Lead review fell from 20 to 5 minutes. Manager reports dropped from 4 hours to 45 minutes.

  • Workflow Assessment
  • Use Case Selection
  • Data Readiness
Read the QuantusTechnik Case Study
QuantusTechnik AI workflow dashboard for lead scoring, enquiry routing, machine alerts and reporting
02 / 03 Case Study
Logistics

AI Document Processing for Transworld Logistics

48h to 4h Invoice processing time

Challenge: Over 2,000 invoices a day came in no standard layout. Manual entry took 48 hours, with a 4 to 5% error rate.

What we did: Built an OCR and computer vision platform that reads any layout and syncs clean invoices to the ERP. Only exceptions go to a person.

Result: Processing fell from 48 to 4 hours, errors dropped to 0.1%, and cost per invoice fell from $2.50 to $0.45.

  • Document AI
  • OCR and Computer Vision
  • ERP Sync
Read the Transworld Logistics Case Study
AI document processing for Transworld Logistics case study banner
03 / 03 Case Study
Automotive Manufacturing

AI Defect Detection for an Automotive Paint Shop

81% to 96% Defect detection accuracy

Challenge: Manual inspection of 1,200 painted bodies a day caught only 81% of defects, with 5.2% false positives.

What we did: Built an edge computer vision system trained on 200,000 images across 12 defect types. Pass or fail goes straight to the line PLC.

Result: Accuracy rose from 81% to 96% and false positives fell to 3.0%. Payback took 149 days.

  • Computer Vision
  • Edge Inference
  • PLC Integration
Read the Automotive Defect Detection Case Study
AI defect detection for a Tier-1 automotive paint shop case study banner

Engagement

AI Consulting Engagement Options

Choose the right level of AI consulting based on your goals and project readiness. From initial assessments to roadmap planning and ongoing advisory, get the guidance needed to make informed AI decisions.

AI Readiness Sprint

Best for: Teams unsure where to start or whether their data can support AI.

You get: Readiness report, use case shortlist and a recommended next step.

90-Day AI Roadmap

Best for: Organizations ready to fund a pilot and needing a plan to justify it.

You get: The full deliverable set: prioritization matrix, architecture recommendation, business case, pilot plan and implementation backlog.

Ongoing AI Advisory

Best for: Teams already building who want an independent view on vendors, evaluation, governance and ROI.

You get: Regular reviews, decision support and access to our consultants.

Industries

AI Consulting Services Across Industries

The method stays the same, but the constraints, review requirements and sources of value change by sector.

Logistics

Document processing, ETA and demand prediction, routing and exception workflows across distributed systems.

Manufacturing

Visual inspection, predictive maintenance, planning and operational knowledge use cases.

Healthcare

Administrative, documentation, scheduling and imaging workflows, with clinicians keeping authority over decisions. See AI for healthcare.

Financial Services

Fraud, risk, document and service opportunities, handled with attention to sensitive data and model review.

Retail and E-commerce

Demand forecasting, personalization, merchandising and customer service.

Why SDLC Corp

Why SDLC Corp Is a Trusted AI Consulting Partner

Advice that stays accountable for whether the recommendation can actually be built.

Vendor-Neutral Recommendations

We compare cloud AI services, open models and platforms against your workload, data, privacy and cost needs, not a preferred provider.

Advice Backed by Build Experience

Our consultants work alongside teams that build and run AI systems, so recommendations reflect production reality. This is also what separates an AI consulting firm from a slide deck.

A Clean Handoff to Engineering

Every roadmap ends in a backlog your own team, or ours, can start on the next day.

We Tell You When Not to Build

If conventional software or simpler analytics fits better, the roadmap says so. After all, ruling a use case out early costs a fraction of finding out after a build.

Get Started

AI Consulting Services Built for Your Business

Tell us where AI could help across your business. We will return a prioritized roadmap and a clear next step.

Talk to Our Experts
AI consulting roadmap from strategy to delivery
Compare

AI Consulting vs AI Development vs Generative AI Consulting

Which one you need depends on how much is already decided.

OptionChoose it when
When You Need AI ConsultingThe initiative is still a set of questions: what to build, why, where to start, which architecture fits, whether the data is ready and how to measure value. Consulting therefore ends in a roadmap, a business case and a backlog, and covers the full range of AI, including predictive machine learning, computer vision and forecasting.
When You Need AI DevelopmentThe use case and direction are already clear and you need engineers to build and run the application. Start with our AI development services.
When You Need Generative AI ConsultingYour roadmap is limited to foundation models, LLM applications, RAG and agents. See our generative AI consulting services.
FAQ

AI Consulting FAQs:
What Buyers Ask Before They Start

Quick answers to the questions we hear most about AI consulting. Don’t see yours? Reach out and we’ll respond within 24 hours.

AI consulting services help organizations decide where and how to use AI before committing to implementation. Typical work also includes use case discovery, readiness assessment, technology selection, business case development, governance planning and pilot roadmapping.

An AI consultant (or AI consulting firm) reviews your goals, workflows, data, systems and constraints to find viable AI opportunities and recommend the right technique and delivery approach. As a result, the output is a decision your business can act on, not a technology overview.

Typical deliverables include a use case portfolio, prioritization matrix, readiness report, architecture recommendation, technology evaluation, governance requirements, pilot scope, KPI framework, implementation roadmap and an executive business case. The exact set, however, depends on the engagement.

Cost depends on scope: the number of use cases, stakeholders and systems, and the depth of the assessment. For example, a focused readiness sprint costs less than an enterprise roadmap. Contact us for a scoped proposal.

An AI readiness assessment reviews whether you have the business ownership, data, systems, infrastructure, security controls, governance processes and skills the proposed initiative needs. As a result, it tells you what to fix before you build.

Not necessarily. Part of the readiness assessment is finding which data you need, its condition, who owns it and the gaps to close. In fact, learning the data is not ready is a valid and valuable result.

A good AI roadmap lists prioritized use cases, the recommended architecture, governance requirements, an evaluation plan, a business case, a phased pilot plan with acceptance criteria, and, finally, the evidence needed for a go or no-go decision.

We measure the current process baseline first, then define the metric the solution should move, estimate realistic adoption and operating costs, and set a success threshold for the pilot. Otherwise, any claimed improvement is unverifiable.

It depends, however, on the number of use cases, stakeholders and systems. A focused workshop or readiness sprint can set initial priorities in a few weeks, while our enterprise roadmap engagement runs on a 90-day structure.

Hire one when you have several AI ideas but no agreed order, budget or owner, or when a failed pilot has made leadership cautious. A short engagement can then turn those ideas into a ranked, costed plan before you spend on a build.

Transformation consulting covers the operating model, roles, training and adoption that make a working pilot stick. Strategy consulting, in contrast, sets direction and priorities. Full AI consulting includes both, and adds readiness assessment, architecture, vendor evaluation, the business case and pilot planning, so the strategy can be acted on.

Yes. In addition, every roadmap includes the governance requirements for its own use cases. For an organization-wide program with policies, risk tiers and evidence, see our AI governance consulting services.

An AI consulting firm is paid to give an independent recommendation, including advice not to build. A development company is paid to build, so its advice can lean toward a build. However, we do both, which is why the handoff from roadmap to backlog is part of every engagement.

Let's Talk About Your AI Project

Get expert guidance on scope, architecture, timelines, and delivery approach so you can move forward with confidence.

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