SplendensLabs

AI Consulting Services

AI strategy before AI spending

Avoid expensive AI mistakes. We help leadership teams identify high-impact use cases, estimate ROI, select the right technologies, and create an implementation roadmap before investing in development.

20+ yrs product engineeringAI + SaaS + marketplace expertiseHealthcare · Education · Pet careProduction-ready architectures
20+ yrs
Product engineering
5
AI platforms operated
6
Industries served
Fixed
Scope & price

Trusted by founders, startups, healthcare providers, education organizations, and growing enterprises.

Who it's for

Who benefits from AI consulting?

The same engagement adapts to where you are — from a founder pressure-testing an idea to an enterprise standing up a transformation office.

Founders & Startups

Make your first AI bet the right one — before burning runway on the wrong build.

  • Validate AI ideas
  • Reduce product risk
  • Build an MVP roadmap
  • Make technology decisions

SMEs

Put AI to work on the operations that quietly cost you the most every month.

  • Automate operations
  • Improve efficiency
  • Reduce costs
  • Increase productivity

Enterprises

Move from scattered pilots to a governed, board-backed AI transformation program.

  • AI transformation strategy
  • Knowledge management
  • Agentic workflows
  • Enterprise AI adoption

Product Companies

Ship AI features that actually differentiate — not a chatbot bolted onto your app.

  • AI feature planning
  • RAG integration
  • AI assistant design
  • Product modernization
Deliverables

What you actually receive

Not a slide deck and a handshake. You leave with concrete artifacts your team can act on the same week.

01

AI Readiness Report

An honest read on whether your data, infra, and team can actually support AI today.

  • Technology assessment
  • Data maturity score
  • Risk assessment
  • Capability gaps
02

Use Case Prioritization Matrix

Every opportunity scored, ranked, and plotted so the sequence is obvious.

  • Quick wins
  • Strategic opportunities
  • ROI ranking
  • Complexity scoring
03

Technology Blueprint

A vendor-neutral stack recommendation you can hand to any engineering team.

  • LLM recommendations
  • Vector DB recommendations
  • AI framework selection
  • Cloud architecture
04

Implementation Roadmap

A costed, sequenced plan from first MVP to scaled production rollout.

  • MVP plan
  • Budget estimate
  • Team structure
  • Delivery phases
05

ROI Model

A quantified business case — what you spend, what you save, and when it pays back.

  • Expected savings
  • Expected gains
  • Risk reduction
  • Payback timeline
06

Executive Presentation

A board-ready narrative your leadership can approve and fund in one sitting.

  • Board-ready summary
  • Strategic recommendations
  • Next-step decisions
Engagements

Choose the right engagement

Fixed-scope engagements sized to your stage. Start small, graduate up — or jump straight to the blueprint.

AI Discovery Workshop

1 Week

Ideal for Startups & SMBs

  • Readiness assessment
  • Opportunity identification
  • Recommendation report
Enquire
Recommended

AI Strategy Sprint

2–4 Weeks

Ideal for Growing Companies

  • AI roadmap
  • ROI analysis
  • Architecture blueprint
  • MVP plan
Start this engagement

AI Transformation Blueprint

4–8 Weeks

Ideal for Enterprises

  • Enterprise AI strategy
  • Governance model
  • Multi-year roadmap
  • Transformation plan
Enquire
The difference

Why SplendensLabs is different

Most AI consultancies stop at the recommendation. We've already built and shipped the kind of platforms we advise you to build.

CapabilityTraditional consultantsSplendensLabs
PowerPoint-only recommendations
Production experience
Has built real platforms
In-house AI + engineering team
Can execute the roadmap
Owns its own AI products
Marketplace expertise
Healthcare expertise
Education expertise
Pet-care expertise

We don't just recommend AI. We build and operate AI-powered platforms ourselves.

Proof of execution

Real platforms. Real experience.

Our consulting recommendations are backed by actual implementation experience — five AI-powered platforms we build and operate ourselves.

The same expertise used to build these platforms can be applied to your business.

Technical depth

AI technologies we help you navigate

Provider-agnostic by design. We recommend the model, retrieval pattern, and cloud that fit your data and budget — not whatever we happen to resell.

Foundation Models

OpenAIClaudeGeminiLlamaMistral

RAG

Vector databasesEmbeddingsKnowledge retrievalSearch systems

AI Agents

LangGraphCrewAIAutoGenAgent orchestration

Infrastructure

AWSAzureGCPDockerKubernetes
Where AI pays off

Common AI initiatives we help define

A starting menu, not a limit. Most engagements surface one or two of these as the right first bet.

Customer support assistant
Internal knowledge assistant
Sales copilot
Employee productivity assistant
Healthcare AI assistant
Clinical documentation assistant
Education tutor assistant
Pet-care knowledge assistant
Marketplace concierge
Document intelligence platform
Contract analysis assistant
Workflow automation agents
Business impact

Potential business outcomes

What well-scoped AI initiatives have delivered for organizations like yours.

40–70%

Reduction in support workload

50–80%

Less time employees spend searching for information

20–60%

Improvement in process efficiency

30–50%

Faster decision-making

Fewer repetitive manual tasks

Better customer experience

Actual outcomes depend on implementation scope and organizational readiness.

Delivery model

How a consulting engagement runs

Eight crisp steps from executive alignment to a roadmap your team can start on Monday. No 100-page deck — just decisions you can act on.

  1. Executive Alignment

    Lock the goals, constraints, and sponsor before any analysis begins.

  2. Business Assessment

    Map operations, data, and the workflows where AI can move a real number.

  3. AI Opportunity Mapping

    Surface every viable AI use case across the business.

  4. Use Case Prioritization

    Score by ROI, feasibility, and strategic fit; rank the shortlist.

  5. Technology Evaluation

    Benchmark models, retrieval, and frameworks against your use cases.

  6. Architecture Design

    Produce a reference architecture any team can build against.

  7. ROI Modeling

    Quantify cost, benefit, risk, and payback per prioritized initiative.

  8. Implementation Roadmap

    Deliver a costed, sequenced plan with a green-lit first MVP.

SL

SplendensLabs — product & AI engineering team

Who you work with

Led by product builders

Our team brings nearly two decades of experience in software engineering, SaaS architecture, marketplace platforms, healthcare technology, education technology, and enterprise systems.

Unlike traditional consultants, we actively build and operate AI-powered platforms — which gives us practical insight into implementation challenges, scaling, security, and business adoption. The advice you get is the advice we follow ourselves.

20+ yrs engineering5 platforms operatedHealthcare · Education · CommerceAI + product in-house
Free resources

A head start, on us

Three practical downloads — see exactly what an engagement produces, and start scoping your own AI bets before you ever talk to us.

Sample deliverable · PDF

Sample AI Roadmap

An illustrative end-to-end engagement output — readiness, prioritized use cases, a technology blueprint, a phased roadmap, and an ROI model.

Download sample roadmap
Self-assessment · PDF

AI Readiness Checklist

Forty checks across data, infrastructure, team, use cases, and governance. Tick what's true today and the gaps become your pre-work.

Download checklist
Fillable template · PDF

Opportunity Assessment Template

Score and rank your AI ideas on impact, feasibility, and data readiness, then plot the winners on a priority quadrant.

Download template
Book a discovery session

Tell us where you are with AI

Six quick questions so we walk into the call already understanding your context. You'll get a structured assessment and practical next steps — no obligation.

  • 30-minute consultation
  • Actionable recommendations, not a sales pitch
  • We reply within one business day

By submitting, you agree to our privacy policy. We never sell or share your data.

FAQ

Frequently asked questions

How long does consulting take?
Anywhere from one week for a Discovery Workshop to eight weeks for a full Transformation Blueprint. Most growing companies land on the 2–4 week Strategy Sprint.
Do we need existing AI systems to start?
No. A large part of the value is figuring out where AI fits before you build anything. Most engagements start from zero AI in production.
Can you help implement the roadmap, not just write it?
Yes. We build and operate AI platforms ourselves, so we can take the roadmap straight into a co-built production engagement — or hand it to your team with enough detail that any competent engineering group can execute it.
What industries do you support?
We have hands-on depth in healthcare, education, commerce, marketplaces, CRM, and pet care, plus broad experience across SaaS and enterprise systems. The method transfers to any data-rich business.
What if our data is poor quality?
That's exactly what the AI Readiness Report is for. We score your data maturity honestly and the roadmap accounts for the cleanup, instrumentation, or sourcing needed before a use case is viable.
Do you provide fixed-price engagements?
Yes. Our consulting packages are fixed-scope and fixed-price, so you know the deliverables and the cost before you commit.
Can you build the solution after consulting?
Yes. Consulting is often the front door to a build engagement, but there's no obligation — the roadmap is yours to execute however you choose.
Do you support startups?
Absolutely. The Discovery Workshop is designed for founders and SMBs who need clarity and risk reduction before spending on development.
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30-minute consultation · No obligation · Actionable recommendations

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