Industry
Financial Services
Sensitive data, review requirements and controlled decisions decide which use cases qualify.
Read moreGenAI Strategy and AI Roadmap
Generative AI Consulting Services
Generative AI consulting services help enterprises decide where generative AI creates value, whether their data and systems are ready, and how to adopt it safely. SDLC Corp advises on use case selection, model and vendor choice, governance and the business case, then plans a measurable path from pilot to production.
50+Enterprise Clients
400+AI Specialists
125+LLM Fine-Tuning Projects
What We Do
Our Generative AI Consulting Services
Six advisory services that turn scattered AI ideas into prioritized initiatives. Once you approve a use case, our generative AI development services build it.
GenAI Strategy
Define where generative AI fits in your business and how each initiative connects to wider technology goals.
Use Case Selection
Separate realistic GenAI use cases from ideas better solved with conventional software, automation or machine learning.
Readiness Assessment
Check data, applications, infrastructure, security, people and processes before committing to a build.
Model and Vendor Choice
Compare language models, retrieval, agents and APIs on your own tasks, without early lock-in to one provider.
Governance and Risk
Set accountability, permissions, human oversight, evaluation and data controls before anything reaches production.
Business Case and ROI
Estimate value, build effort, operating cost and success criteria for each shortlisted initiative.
Use Cases
Where GenAI Can Create Value
Generative AI pays off most in language, document and knowledge work. Discovery scores each idea on value and feasibility and rules out the rest.
- 01 / 06
Customer and Product Support
Support assistants, personalized communication and generative features inside your product.
- 02 / 06
Sales and Revenue
Proposal drafting, account research and call summaries that give sellers time back.
- 03 / 06
Content and Marketing
Content generation, campaign variation and personalization at a controlled quality bar.
- 04 / 06
Employee Productivity
Drafting, summarization and internal knowledge access for every team.
- 05 / 06
Documents and Engineering
Summaries, extraction, classification, coding assistance and documentation.
- 06 / 06
Data and Analytics
Plain-language questions on company data and written explanations of reports.
Industries
Industries We Advise
The method stays the same across sectors, while constraints and value levers change. See also our guide to generative AI for supply chain.
Industry
Healthcare
Documentation and knowledge workflows where a person keeps final authority.
Read moreIndustry
Retail and E-commerce
Content, merchandising, customer experience and internal productivity.
Read moreIndustry
Manufacturing and Logistics
Technical documentation, support and document-heavy operational workflows.
Read moreIndustry
Consulting and Professional Services
Proposals, research and knowledge search under strict client confidentiality.
Our Process
Generative AI Consulting Process
Our generative AI consulting process has five stages, each ending in a decision. Approved work moves on to build with the same team that advised on it.
Discover
We map business priorities, workflows and stakeholders, and agree what success looks like.
PrioritiesAssess
We review use cases, data, systems, security and readiness before we choose any model.
Readiness reportPrioritize
We rank opportunities by value and feasibility so evidence picks the first project.
Ranked portfolioDesign
We design the architecture, governance, evaluation method and pilot plan.
Architecture and pilotRoadmap
We deliver the business case, backlog, KPIs and the criteria to build, change or stop.
Build backlog
Deliverables
What You Get in 90 Days
A typical roadmap engagement runs about 90 days and ends in six deliverables. We write the backlog so engineers can start straight away through our AI integration and implementation services.
Days 1 to 30
Discover and Prioritize
Workshops, a use case inventory and a readiness review. You receive the use case portfolio and the readiness report.
Days 31 to 60
Design and Validate
Architecture and model evaluation, governance and the business case. You receive the architecture recommendation and the governance and risk plan.
Days 61 to 90
Prepare for Pilot
Pilot definition, integration plan and acceptance criteria. You receive the pilot roadmap and an executive business case with a build backlog.
Governance
How We Govern GenAI Applications
Governance in our generative AI consulting services defines who owns an AI application and how the team checks it. For a wider program, see our AI governance consulting services.
Ownership and Review
Every application has a named owner, and clear rules say when a person must review an output. Roles and duties follow the NIST AI Risk Management Framework.
Access and Approved Models
Rules set who can use which data and which model versions, with logging and quality thresholds for each. The management practices align with ISO/IEC 42001.
Output and Data Risk
We test for incorrect outputs, sensitive data exposure and prompt manipulation before users see anything. The test cases come from the OWASP Top 10 for LLM Applications.
Vendor and Continuity
Dependence on one provider, outages, and the plan if a model changes or is withdrawn.
Technology
Technology Stack
We compare hosted and open models on your tasks, then recommend an approach across LLMs, RAG and agentic AI on the cloud you already use.
Anthropic
OpenAI
Gemini
Google AI
Grok
Perplexity
NVIDIA
AWS
Microsoft Azure
Google Cloud
Case Studies
Generative AI Consulting Case Studies
Three engagements where discovery and planning came first, and the results that followed.
Discovery to Delivery · QuantusTechnik
Use-Case Discovery Before the AI Build
Approach: workflow review and use-case selection came first, then a data check, before any AI logic was built. The result is a connected AI automation covering lead scoring, enquiry routing and manager summaries.
- 20 to 5 minLead Review Time
- 60% to 95%Follow-Up Visibility
- 4 hrs to 45 minReport Prep
Architecture to Production · DYD
Architecture Planning Before a Six-Month Build
Approach: technical planning, user-role mapping and system design came before a three-layer AI platform for interior simulation.
- ~25s, was 4 to 12 hrsRender Time
- 1:1 inch-accurateMeasurement Scale
- 6 monthsDiscovery to Launch
Decision Intelligence · U.S. Brokerage
Decision Intelligence for Margin Trading
Approach: scenario simulation, predictive risk scoring and ranked trade actions were designed first, with analyst approval kept in the loop, ahead of a six-week production rollout.
- +40%Margin Profit
- 2.2 to 0.5 minDecision Time
- 6 weeksProduction Rollout
Why Us
Why Choose SDLC Corp
Our generative AI consulting services are led by consultants who also build and run AI systems, so advice is grounded in delivery.
Business-First
We start from the business outcome, not the latest model, so every recommendation ties to a metric.
Vendor-Neutral
We compare models and architectures by workload, never by which provider we prefer.
Delivery Experience
Advice comes from the teams behind live AI products, so we check every recommendation against what the team can build.
Clear Handoff
Every engagement ends with a backlog, acceptance criteria and a decision on what to build, change or stop.
ISO 9001:2015
Quality management
ISO/IEC 27001:2022
Information security management
SOC 2 Type II
Audited security controls
Build Your GenAI Roadmap
Build Your GenAI Roadmap With a Senior Consultant
Tell us what you want AI to do for the business. A senior consultant replies with a first view of use cases, risks and the right next step.
Request a GenAI ConsultationQuick Readiness Check
- Do you have AI ideas but no ranked list of which to build first?
- Are you unsure whether your data and systems are ready?
- Does leadership need a business case and governance plan before approving a pilot?
Two or more yes answers mean a roadmap engagement is a good fit.
Cost and Timeline
Generative AI Consulting Cost and Timeline
We price generative AI consulting services after a short scoping call. Use cases, stakeholders, systems and governance depth set the cost.
| Engagement | Starting price | Typical timeline | What it covers |
|---|---|---|---|
| Workshop and Readiness Review | From $10,000 | 2 to 4 weeks | Prioritised use cases and a readiness review of your data and systems. |
| Strategy and Roadmap | From $25,000 | About 90 days | Architecture recommendation, governance plan, business case, pilot roadmap and build backlog. |
| Enterprise Program | Quoted after scoping | Set by scope | Several business units, regulated sectors or many systems in scope. |
Client Stories
What Clients Say About SDLC Corp
Founders, CEOs, and operating leaders share what it's like to build with SDLC Corp.
Client story
Eric Leist
CEO, Edgerton Strategies
Client story
Doug Schmidt
CEO, Roofaid USA
Client story
Reyzal Razmi
All Star Influencers
What clients say
01 / 05GoodFirms · 4.9 / 5GoodFirms · 4.9 / 5GoodFirms · 4.9 / 5GoodFirms · 4.9 / 5DesignRush review · 5.0 / 5
Their deep discovery process meant they understood our business needs better than we did.
Their AI consulting expertise completely transformed how we manage and predict our logistics flow.
SDLC Corp delivered cutting-edge AI development services for our supply chain optimization project in the United States.
They saw inefficiencies in our processes that we'd stopped noticing, and built a solution.
They provided a clear and detailed roadmap for building software tailored to our needs, complete with features like client dashboards and real-time analytics. Their project management was seamless, and their ability to combine technical know-how with industry insight was outstanding.
Tim LaunierePresident, DieBotics
Ege HalacCEO
Crystal WilsonPresident
Emma TaylorVice President, Reiss
Ritujoy Narayan ChowdhuryManaging Director, Franklin Park
Insights
Insights on GenAI Strategy
Further reading on AI roadmaps, readiness and generative AI basics.
Enterprise AI Roadmap
How to structure use cases, guardrails and ROI measurement before scaling AI programs.
Read ArticleWhat Is Generative AI?
The capabilities and business applications of generative models, explained.
Read ArticleAI Readiness Assessment
How to assess strategy, data, infrastructure, people and governance before scaling AI.
Read Article
FAQs
Frequently Asked Questions
Scope, deliverables, models, data, ROI and where consulting ends and engineering begins.
Generative AI consulting services help organizations decide where and how to use generative AI before committing to a build. Typical work includes use case discovery, readiness assessment, architecture and model recommendations, governance planning, a business case and a pilot roadmap.
A generative AI consultant evaluates your requirements, workflows, data and systems to find viable generative AI opportunities and recommend an approach. The output is a decision the business can act on, not a technology overview.
Six deliverables, from a use case portfolio to an executive business case with a build backlog. The 90-day plan above shows when each one arrives.
Consulting decides what to build, why and how to structure the initiative. Development turns the approved use case into a production application.
| Generative AI Consulting | Generative AI Development | |
|---|---|---|
| Best when | The initiative is still a set of questions | The use case and direction are defined |
| Output | Roadmap, business case and backlog | A running production application |
| Next step | Decide to build, change or stop | Production release |
Start with one workflow built on language, documents or knowledge, where the outcome can be measured and the data is accessible. Discovery scores each candidate on value, feasibility, data readiness, effort and adoption, so the first project is chosen on evidence. Each shortlisted use case is then tested on a fixed set of real questions, with a pass threshold agreed before the pilot starts.
The problem decides. Generative AI fits content and language work, RAG fits answers from proprietary or changing information, agents fit workflows that use tools and take controlled actions, and traditional ML or conventional software fits prediction and fixed rules. Fine-tuning fits cases where tone, format or domain behavior must stay consistent after prompting and retrieval have been tried.
| If you need to | Use |
|---|---|
| Write, summarize or draft content | Generative AI |
| Answer from proprietary or changing documents | RAG |
| Run a multi-step task with tools and controlled actions | An AI agent |
| Keep tone, format or domain behavior consistent | Fine-tuning |
| Predict a number or class, or apply fixed rules | Traditional ML or conventional software |
Not necessarily. The readiness assessment identifies which data is needed, its condition, ownership and accessibility, and the gaps to close first. Finding out that data is not ready is a useful result. This is common. In the McKinsey State of Organizations 2026 survey of more than 10,000 senior executives, 86% of leaders said their organizations are not very prepared to adopt AI in day-to-day operations.
We set a baseline for the current process, define the metric the application should move, estimate adoption and operating costs, and agree a success threshold for the pilot. Without a baseline measured before the pilot, nobody can verify the improvement afterwards.
Yes. We compare options on your representative tasks for quality, context, latency, deployment, privacy and cost, and we do not standardize on one provider.
Yes. Once you approve the business case, architecture and pilot, the backlog moves to the delivery team. We write it so engineers can start without repeating discovery.
A strategy roadmap takes about 90 days and starts from $25,000, while a workshop and readiness review starts from $10,000. The cost table above shows all three options.
- Contact Us
Talk to a Generative AI Consultant
Get expert guidance on architecture, scope, timelines, and delivery approach so you can move forward with confidence.
What happens next?
- We review your requirements
- Strategy call with experts
- Clear roadmap & estimate
- NDA Protected
- Enterprise Grade Delivery
- Global Clients
