Turn AI Overload into Strategic Clarity

Too many models, vendors, and “next-big-things.” We cut through the noise, align to your goals, and make AI work for you—fast.

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World of AI options represented by glass cubes.
World of AI options represented by glass cubes.
AI Examination and Evaluation.

Overwhelmed by AI Choices?

You’re not alone. There are 5,000+ AI tools on the market. We map the landscape and pick what matters.

Your Expertise + Our Intelligence

You keep the vision; we turbo-charge execution with proven AI frameworks.

Precision at Every Step

Discovery → Design → Deployment → Optimization—every phase measured in business outcomes.

You’re not short on ideas—
you’re drowning in options.

AI adoption usually stalls for three reasons:

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No single roadmap

No single roadmap. Teams run parallel pilots that never converge.

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Mis-matched metrics

Models report accuracy; boards ask for ROI.

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Tool sprawl

Licenses pile up; value stays locked away.

77 % of AI projects fail because they’re not tied to clear business strategy.
— Gartner

Key takeaway

It's not a technology gap.
It’s a clarity gap.

Can’t we just use ChatGPT or Gemini?

You can… to a point. Here’s what DIY typically misses (and where INTO fits):

Feels simple…
Hidden complexity
Where it bites later
INTO fixes it by

Generate an API key & call /v1/chat/completions

Token limits, rate-limits, auth rotation, secure secret storage

Keys leak, requests spike, service throttles at your peak usage

Secrets vault, usage proxy, retry queues, autoscaling

Write a clever prompt in a notebook

Prompt injection attacks, brand tone drift, hallucinations

Wrong answers in production, legal/compliance risk

Guard-rails, eval harnesses, prompt libraries with test cases

Save docs to an “embeddings” vector DB

Chunking strategy, semantic search tuning, PII redaction

Search latency, irrelevant answers, privacy breaches

Optimal chunk size, RAG indexing pipeline, PII scrub + access control

Call the model on every user question

Cache hits/misses, streaming vs. batch, fallback models

Costs explode as usage grows; response time lags

Hybrid cache, token-budget router, cost dashboard & alerts

Ship a demo to one team

Versioning, rollback strategy, multi-tenant data isolation

“Works on my box” → stalls at enterprise security review

Containerised micro-services, CI/CD, SOC-2 audit trail

DIY gets you the first answers. We engineer the system that runs every answer—safely, cheaply, and at scale.

Capabilities We Bring to the Table

Strategic AI Design
Use-case prioritization, KPI linkage, ROI modeling.
AI Planning and design.
Data & Integration Engineering
Lakehouse design, real-time pipelines, embeddings stores
Fiber optic wire and data flow.
Agent Orchestration
LangChain, serverless functions, task routing, human-in-the-loop
AI powering up.
CX & UX for AI
Prompt safeguards, latency tuning, feedback loops
AI Design and UI.
FinOps & Governance
Cost dashboards, rate-limit alerts, compliance guardrails
AI configuration and control panels.

Our Process

Plan fast. Ship often. Measure always.

Big-bang AI projects die in steering-committee limbo. We work in tight, focused sprints—so you see value every two weeks, not every two quarters.

Why clients love the sprint model

  • Fast proof, low risk: You see something tangible before you sign a long statement of work.
  • Shared visibility: Leadership, IT, and operators look at the same KPIs every fortnight.
  • Continuous momentum: Each sprint compounds the value of the last—no reset, no drift.
AI Examination and Evaluation.
AI represented by glass cube.

A clear first step—with near-zero risk.

AI projects fail in planning, not execution.

That’s why we start with a AI Roadmap Workshop: a short, structured scoping session designed to quickly uncover your best AI opportunities, identify hidden risks, and clarify realistic timelines.

In just two focused workshops (4 hours total), you’ll get:

  • A prioritized use-case tied directly to your core business goals
  • A lightweight architecture sketch that IT can actually implement
  • Realistic cost projections and success KPIs to guide decisions
  • Clear next steps—no guesswork, no endless discovery loops

Why it matters

We help you scope smart and start right—turning uncertainty into confidence before committing resources.

Let's Talk About Your Project
Case study

INTO for Hospitality

The Challenge

Property managers struggled with growing guest expectations for instant, 24/7 communication while managing increasing operational costs and maintaining service quality across multiple languages.

The Solution

We developed an intelligent AI system that handles guest communications, automates routine tasks, and optimizes revenue - all while maintaining the personal touch that guests expect.

Key Features

INTO Autopilot
Autonomous handling of routine guest inquiries.
Self-Learning
AI learns from conversations and checks data for accuracy through a confidence score. This reduces manual correction.

The Results

+200%
Agent productivity when using Autopilot.
+40,000
Property managers use  INTO AI  to manage their rental properties.
+150,000
Hours of repeat enquiries saved through use of AI.

Ready to Find Your First AI Win?

Book a 30-minute discovery call with us

No slides, no pressure—just a focused conversation about your goals and the fastest path to value.

Let's Talk
AI control centre.