01
AI Strategy
We connect AI work to real operational problems and write down where it is worth using and where it is not.
AI consulting that ends in a clear decision, not a slide deck.
Corpvance is an AI consulting firm that also builds what it recommends. We help you choose the workflow worth automating, check whether your data can support it, test vendor claims, and write a plan for a pilot. For example, we built 818 Digital, a conversational workspace that cut context switching by 65-70%.
Free tool · 8 questions · about 2 minutes
Is your company ready to build with AI?
Answer 8 questions on your use case, data, systems, and team, and get a result: ready to build, ready for a pilot, or what to fix first. Free, and your answers stay in your browser.
Where AI Consulting Helps
Useful when leadership wants AI but the first step is still unclear.
01
Picking the first workflow
Comparing candidate workflows by value, data, risk, and effort, so the first project has a real chance of being used.
02
Checking your data
Finding out where the data lives, how clean it is, and who can access it before anyone commits to a build.
03
Sorting vendor claims
Testing AI products and proposals against your use case, your permissions, and your running costs.
04
Setting safe limits
Deciding what the AI may do alone, what a person must approve, and how you will know when it is wrong.
Capabilities
AI consulting that separates what is worth building from what is not.
Use-case selection, data checks, vendor reviews, and pilot plans from a team that builds production AI systems.
02
Use Case Selection
We rank candidate workflows by value, data, risk, and effort, so the first project is one people will use.
03
Data Readiness Reviews
We check where your data lives, how clean it is, and who can access it before anyone commits to a build.
04
AI Vendor Evaluation
We test AI products and proposals against your use case, your permission rules, and your likely running costs.
05
Pilot Planning
We scope one pilot with named users, real data, success measures, and a clear decision at the end.
What You Receive
A written AI plan your team can act on.
Ranked use cases
The workflows worth pursuing, the ones to skip, and the reasons for each.
Data readiness findings
What your data can and cannot support today, and what to fix first.
Build, buy, or wait advice
A clear recommendation for each use case, including when an existing product is enough.
Cost estimate
The expected build effort and the monthly model and hosting costs, with the assumptions written down.
Pilot plan
One scoped pilot with its users, data, success measures, and a decision point at the end.
Risk and governance notes
Access rules, human review points, and how outputs will be evaluated.
Our Process
Delivery methodology
From an open question about AI to a written plan and a scoped pilot.
- 01
Intro Call
We learn which workflows you are considering and what is pushing the AI decision now.
- 02
Workflow & Data Review
We look at how the work happens today and what data and systems it depends on.
- 03
Recommendation
We rank the use cases and advise whether to build, buy, wait, or leave each one alone.
- 04
Pilot Plan
We write the plan for the first pilot, ready for your team, another vendor, or ours to run.
Industries
Industries we serve
We bring product strategy, security standards, and engineering discipline to regulated and high-stakes industries.
01
Banking & Finance
Secure platforms, data systems, and automation that support lending, payments, reporting, and regulated operations.
02
Retail
Inventory, customer, and store systems that improve fulfillment, personalization, and operational visibility.
03
Healthcare
Clinical and operational software designed around privacy, reliability, and care-team workflows.
04
Supply Chain & Logistics
Tracking, forecasting, and document workflows that reduce manual handoffs across shipping and procurement.
05
Insurance
Claims, underwriting, and customer portals with clearer data flow and stronger process controls.
06
Manufacturing
Production, quality, and maintenance systems that connect shop-floor data to planning and operations.
07
Automotive
Fleet, service, and product platforms that improve routing, uptime, and customer-facing experiences.
08
Hospitality
Guest, booking, and property systems that streamline operations and improve conversion.
09
Real Estate
CRM, valuation, and transaction workflows for brokerages, managers, and investment teams.
10
Media & Entertainment
Content, audience, and publishing systems that support personalization and production workflows.
11
E-commerce
Storefronts, catalogs, and fulfillment systems that improve conversion and operational efficiency.
12
Legal
Research, contract, and matter systems that reduce manual review and improve case visibility.
Build Experience Behind the Advice
We also build production AI. Here is one system we shipped.
CASE STUDY / VYSPAR
Clinical RAG Search & verified medical networking collective.
The Business Problem
Physicians and specialists waste valuable hours auditing unstructured medical journals, research documentation, and case logs split across legacy systems and siloed databases.
What We Built
A HIPAA-compliant RAG knowledge pipeline embedded inside a physician collective network. Doctors query papers conversationally, generating peer summaries complete with source citations.
78%Research time cut
94%Summary accuracy
100%Compliance rate
Consulting Toolkit
Practical checks, not a slide deck of possibilities.
The advice can include using a simpler tool, buying a product, or not using AI at all.
Use cases
- Workflow review
- Value and effort scoring
- Success measures
Data
- Source inventory
- Quality checks
- Access and permissions
Technology
- Model selection
- RAG vs fine-tuning
- Integration options
Risk
- Evaluation plan
- Human review points
- Cost limits
Guides
Read before you decide
- How to Choose an AI Development Company: 12 Questions to AskQuestions on evaluation, data access, code ownership, cost, and support after launch.
- How Much Does It Cost to Build an AI Product?Development budgets, a worked estimate, and the monthly cost of running AI.
- How to Add AI to Legacy Systems Without Replacing ThemAPIs, middleware, RAG, and agents around an old system, and when to modernize first.
- RAG vs Fine-Tuning: Which Does Your AI Product Need?Where each fits, the cost and maintenance differences, and what 818 Digital shows about retrieval.
FAQ
AI Consulting questions
Practical answers about scoping, delivery, integration, risk, and ongoing ownership.
01What does an AI consultant do?
An AI consultant helps you decide where AI is worth using, whether your data can support it, and how to test it safely. At Corpvance, that work ends in a written plan: ranked use cases, data findings, a build, buy, or wait recommendation, and a scoped pilot.
02When should we hire an AI consultant instead of an AI developer?
Hire a consultant when you are still choosing the workflow, unsure about your data, or sorting vendor claims. Hire a developer when the user, the data, and the action are already clear. Corpvance does both, so you can start with advice and move to a build only if the plan supports one.
03Can you advise us without taking on the build?
Yes. Advisory work is a separate engagement, and the plan is written so your own team or another vendor can carry it out.
04Will you always recommend building something with AI?
No. Sometimes the right answer is an existing product, a simpler automation, or fixing the data first. The plan will say so when that is the case.
05Do you need access to our data?
Usually a sample and a description of where the data lives are enough to start. We agree on what we can access, and how, before the review begins.
06What happens after the AI consulting work?
You decide. You can run the pilot with your own team, take the plan to another vendor, or have Corpvance build it. Client code and intellectual property stay with the client if we do build.
Related Services
Where an AI plan usually goes next.
You can take the plan to your own team or another vendor. If you want us to deliver it, these services pick it up.
Artificial Intelligence
Production copilots, agents, and RAG systems when the plan is ready to build.
Explore Artificial Intelligence →Data & Analytics
Pipelines and warehouses when the data has to be fixed before the AI can work.
Explore Data & Analytics →Technology Consulting
Wider advice on architecture and technical strategy beyond the AI work.
Explore Technology Consulting →