AI integration analysis · $1,500 fixed · 5–7 business days
AI integration consulting services
NorthPulse is a US AI integration consulting company and AI-first engineering studio. Our AI integration consulting services start with a fixed-price analysis: in 5–7 business days, for $1,500, we rank 3–5 costed AI features for your product and build a working prototype of the best one. You decide with evidence, not a vendor pitch.
Introductory price of $1,000 for our first five clients.
AI integration consulting services at a glance
- Price
- $1,500 fixed, invoiced at kickoff. Introductory $1,000 for our first five clients.
- Timeline
- 5–7 business days, from kickoff call to readout.
- You get
- 3–5 ranked, costed AI features, a working prototype of the best one and a board-ready report with an AI implementation roadmap.
- Commitment
- None. Keep the report and the code, and build with any team you choose.
The basics
What are AI integration consulting services?
AI integration consulting services are expert help to decide where artificial intelligence belongs in your product, and how to add it safely. Ours start with a short, fixed-price AI integration analysis: a study of your product, your data and your users' workflows that finds where AI would genuinely help.
The analysis combines an AI readiness assessment with an AI feasibility study. You get ranked AI features, what each one costs to build and run, the risks, and a working prototype in your own repository.
Most teams start AI with a guess or a vendor pitch. An AI use case analysis replaces the guess with evidence. Typical candidates include AI search, summarization, data extraction from documents, classification, recommendations and in-product assistants built on generative AI, large language models (LLMs) or classic machine learning.
Who needs AI integration consulting services?
Founders under AI pressure
Your board, customers or competitors have put AI on the agenda and you need a clear answer, not a demo.
Product teams new to AI
You have shipped nothing with AI yet and want your first feature to be one people use, not a chatbot nobody opens.
CTOs weighing build vs. buy
You want an outside view on building, buying or skipping an AI feature before you commit an engineer for months.
Teams without an AI plan
You need an AI readiness assessment and an AI implementation roadmap with costs your leadership can approve.
AI integration consulting is not a fit if…
- No one on your side can make product decisions or give read-only access to the product.
- The AI feature would need patient health data (PHI) or regulated financial data.
- You need a SOC 2 report or on-site or US-person staff.
Deliverables
What do you get from our AI integration consulting services?
Every AI integration analysis delivers the same six things, so you know exactly what $1,500 buys before you start: a kickoff, an AI use case analysis of your product and data, ranked AI features, a working AI proof of concept, a cost model and a written report.
60-minute kickoff
A call with your founder or product lead to agree goals, users, constraints and what success looks like.
Product and data review
An AI readiness assessment of your product, data model and the workflows where users spend their time.
3–5 ranked AI features
Each with the user problem it solves, the data it needs, build effort in engineer-weeks, running cost at your scale and the risks.
Working prototype
An AI proof of concept or architecture spike of the top feature, in your stack, in a repo you own.
Cost model
What each feature costs to run every month at your current scale, including model calls and hosting.
Readout and report
A 45-minute readout and a written report with an AI implementation roadmap you can hand to your board.
Timeline
How long does an AI integration analysis take?
An AI integration analysis takes 5–7 business days. Your team spends about two hours in total: a kickoff, a few quick answers and the readout. We do the rest.
| Day | What happens | What your team does |
|---|---|---|
| Day 1 | Kickoff call; read-only access to your repository and a sample of production-shaped data | Join the 60-minute kickoff and grant read-only access |
| Days 2–3 | Workflow and data review, AI use case analysis, candidate AI features drafted | Answer a few quick questions |
| Days 4–5 | Prototype of the top feature as a short AI feasibility study on your data; cost model built | Nothing, unless we hit a blocker |
| Days 6–7 | Report written and reviewed; AI implementation roadmap finalized | Attend the 45-minute readout |
Feature scorecard
What does each recommended AI feature include?
Every feature in the AI use case analysis is scored the same way, so you can compare value, effort and risk side by side and choose with confidence.
| Field | What it tells you |
|---|---|
| User problem | The job the feature does, who it helps and why they would use it |
| Data needed | Which data the feature uses, where it lives and whether you have enough of it |
| Build effort | An estimate in engineer-weeks to take it from prototype to production |
| Running cost | Monthly model and hosting cost at your current number of users |
| Model choice | A hosted large language model (LLM), an open-weight model, classic machine learning, or no AI at all |
| Risks | Accuracy, data privacy, vendor lock-in and adoption risks, stated plainly |
Pricing
How much do AI integration consulting services cost?
Our AI integration consulting services start with a $1,500 AI integration analysis, fixed and invoiced at kickoff. Our first five clients pay an introductory $1,000. There is no hourly billing, no scope creep and no obligation to build with us afterwards.
- Fixed price, agreed before we start
- AI feasibility study on your own data (a sample is enough)
- Prototype code in your repository
- Board-ready report and AI implementation roadmap
- We sign an NDA on every project
Compare every NorthPulse service on the pricing page.
$1,500
Fixed price · 5–7 business days
$1,000 introductory price for our first five clients
Start the analysisCompare
Should you start with an AI integration analysis or build straight away?
Building straight away feels faster. An AI feasibility study on your own data costs less than finding out, months in, that the feature doesn't work or nobody uses it.
| Factor | Analysis first | Build straight away |
|---|---|---|
| Upfront cost | Fixed $1,500 | A full build budget |
| Time to a decision | 5–7 business days | Weeks of scoping and debate |
| Data readiness | Checked by an AI readiness assessment | Discovered halfway through the build |
| Which feature | Ranked by an AI use case analysis of value, effort and cost | Chosen by assumption or a vendor pitch |
| Risk | Tested in an AI feasibility study on your data | Problems found after the money is spent |
| What you keep | Report, roadmap and AI proof-of-concept code | One feature, if it works |
Next steps
What happens after the AI integration analysis?
You choose the next step. The analysis is built to be useful whether or not you work with us again: roughly a third of clients continue, the rest keep the report.
Keep the report
Use the AI use case analysis, cost model and AI implementation roadmap with your own team or any vendor.
Fixed-price build sprint
We turn the AI proof of concept into a production feature inside your existing product. Product and feature sprints run $3,000–$15,000.
Two-week pilot
An embedded senior engineer builds the feature in your repo for two weeks at half the monthly rate, credited if you continue.
Why choose us
Why choose NorthPulse as your AI integration consulting company?
A good AI integration company gives you evidence, not a sales pitch. Here is what makes our AI integration consulting services worth $1,500. See how we deliver in our case studies.
Honest answers
If no AI feature is worth building yet, the report says so and explains why. It happens.
Code in your repository
The AI proof of concept lives in your repository from the first commit, so nothing is locked away.
Your data stays yours
Read-only access and a representative sample or synthetic data. We never copy production data to our machines.
Senior engineers, not slides
AI integration consulting services from engineers who build. AI agents speed up the work; a senior engineer reviews and owns every recommendation.
Fixed price and timeline
$1,500 and 5–7 business days, agreed up front. No hourly billing, no surprises.
One team from idea to build
The same team can build the feature as a fixed-price sprint or with an embedded engineer.
FAQ
AI integration consulting services FAQ
Quick answers to what teams ask before they book AI integration consulting services. Ready to build instead? See fixed-price product sprints.
How much do AI integration consulting services cost?
Our AI integration consulting services start with a $1,500 AI integration analysis, fixed and invoiced at kickoff. Our first five clients pay an introductory $1,000. There is no hourly billing and no scope creep.
Can a small SaaS company afford AI integration consulting?
Yes. The analysis is a fixed $1,500 ($1,000 for our first five clients), built for SaaS teams that want AI features in front of customers without hiring an AI team.
How long does an AI integration analysis take?
Five to seven business days from the kickoff call to the readout. Your team spends about two hours in total: a 60-minute kickoff, a few quick questions and a 45-minute readout.
What if there's no good AI feature in our product?
Then the report says so, with the reasons, and you've spent $1,500 instead of a quarter. It happens.
Is an AI integration analysis the same as an AI readiness assessment?
It includes one. An AI readiness assessment checks whether your data, product and team are ready for AI. Our analysis goes further: it ranks specific AI features, costs them and prototypes the best one.
Which AI models do you use?
Whichever fits the feature: hosted large language models (LLMs), open-weight models, classic machine learning, or none. The report states the choice and the data-handling terms for each option.
Do you need our production data?
No. A representative sample or synthetic data is enough. We never copy production data to our machines.
Can we keep the prototype code?
Yes. It is written in your repository from the first commit, so it is yours from day one.
Can you add AI to an existing SaaS product?
Yes. Our AI integration services work inside your existing stack and repository, whether that is Laravel/PHP, Node, Python, Java, React or Vue, so the prototype fits the product your users already have.
How do I choose an AI integration consulting company?
Look for an AI integration consulting company that gives you a fixed price, a written deliverable, code in your own repository and senior engineers who build, not only advise. Be wary of anyone who recommends a chatbot before they have looked at your data.
Do we have to build with NorthPulse afterwards?
No. Roughly a third of clients take the next step, a fixed-price sprint or a two-week pilot. The rest keep the report and build with their own team.
Related services
Where can the AI integration analysis lead?
Once you know which AI feature to build, the same AI integration consulting company can build it with you and keep advising as it grows.
Product and feature sprints
Turn the top AI feature into tested production code at a fixed price and a fixed date.
Scope a sprintEmbedded senior engineers
A senior engineer in your repo and sprint, building with AI agents, with every pull request reviewed.
Start a two-week pilotCodebase health and speed audit
Not sure your codebase is ready for AI? Find out what's slow, insecure or fragile first.
Request an auditContact us
Start your AI integration analysis
Tell us about your product and where AI is on your agenda, or ask about our AI integration consulting services. A senior engineer replies within one business day with a call slot.
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