Make better AI decisions before, during, and after implementation.
From identifying the right AI opportunities to architecture, governance, cost optimization, and technical execution, Data Techcon helps teams turn scattered AI initiatives into practical, responsible, and economically sustainable systems.
For startups, growing businesses, and teams evaluating, building, or scaling AI.
Strategy Before Spend
Most organizations do not have an AI-tool problem.
They have a decision problem.
Teams are being asked to move quickly with AI — launch pilots, select models, hire technical talent, evaluate vendors, introduce agents, control LLM costs, and prove business impact. The challenge is deciding what should actually be built, how it should work, how it should be governed, and whether the economics make sense.
Before committing significant time or budget, teams need clarity around questions like:
Without that clarity, organizations risk investing in disconnected pilots, unnecessary tools, overengineered systems, expensive model usage, poorly scoped vendors, and technical hires who do not match the work. Our advisory helps leadership and technical teams make these decisions with greater confidence.
What We Advise On
Four areas where AI decisions become expensive.
Organizations rarely need help with only one part of AI implementation. Product decisions affect architecture. Architecture affects cost. Cost affects pricing. Governance affects deployment. Team capabilities affect what can realistically be maintained. Our advisory connects those decisions across four core areas.
Who This Is For
This advisory is built for teams making consequential AI decisions.
This may be a strong fit if you are:
- Exploring AI but unsure where to begin
- Evaluating several AI opportunities without a clear prioritization framework
- Preparing to build your first internal AI capability
- Adding AI to an existing product or workflow
- Already building and need stronger product or technical direction
- Seeing increasing LLM or API costs
- Preparing to launch or scale an AI system
- Evaluating an AI vendor, software agency, or implementation partner
- Hiring technical AI talent and unsure which capabilities you actually need
- Strengthening evaluation, governance, or responsible AI controls
- Connecting AI investment to measurable business value
This may not be the right fit if:
- You only need a quick AI-tool recommendation
- You want someone to build the entire product for you
- You need recruiting or staff-placement services
- You are looking for free ongoing consulting
- You want guaranteed business, funding, or revenue outcomes
- You are not prepared to provide the business or technical context required for meaningful recommendations
How We Work
Advisory starts with the decision — not a predetermined solution.
Understand
We review the business problem, current systems, AI initiatives, stakeholders, constraints, and the decisions that need to be made.
Diagnose
We identify gaps across product, architecture, evaluation, governance, economics, team capabilities, and implementation readiness.
Recommend
We provide prioritized recommendations based on business value, technical feasibility, risk, cost, and organizational capability.
Roadmap
When needed, recommendations are translated into a practical sequence of next steps, dependencies, ownership, and success measures.
Our role is advisory. We help your team make stronger strategic and technical decisions while your internal team, implementation partner, or selected vendor owns execution.
The Data Techcon AI Decision Framework
Every AI initiative should be evaluated across six dimensions.
Business Value
What measurable outcome should improve?
Technical Feasibility
Can the workflow, data, model, and infrastructure reliably support it?
Quality & Evaluation
How will we know the system works?
Governance & Risk
What can go wrong, and what controls are required?
Economics
What will the system cost to operate and scale?
Operating Model
Who builds, owns, monitors, and improves it?
An AI use case should not move forward simply because it is technically possible. It should have a credible path across value, feasibility, quality, risk, economics, and ownership.
Advisory Options
Choose the level of support your team needs.
AI Opportunity & Readiness Session
Best for: Teams that need clarity around a specific AI opportunity, initiative, or decision.
A focused advisory engagement to review your current challenge, assess the opportunity, identify key risks or dependencies, and define recommended next steps.
Book an Advisory Fit CallWhy Data Techcon
Strategy informed by actually building and operating data and AI systems.
Our advisory approach combines experience across data science, machine learning, AI engineering, product analytics, responsible AI, and technical implementation. That means recommendations are not made from a single perspective. We consider how:
- Business requirements affect system design
- Model choices affect quality and cost
- Evaluation affects launch readiness
- Governance affects implementation
- Architecture affects scalability
- AI usage affects unit economics
- Data quality affects model performance
- Team capabilities affect what can realistically be maintained
Tobe Awosanya
AI Engineering Leader · Data Scientist · Technical AI Advisor · Founder, Data Techcon
Tobe brings experience across applied data science, machine learning, AI engineering, analytics, responsible AI, and production AI systems — helping teams connect technical decisions to measurable business outcomes.
Frequently Asked Questions
Questions teams ask.
MAKE THE DECISION BEFORE THE DECISION GETS EXPENSIVE
Your next AI decision should be based on more than what is technically possible. Whether you are deciding what to build, reviewing an architecture, preparing to launch, controlling AI costs, evaluating a vendor, or determining what technical capability your team needs, Data Techcon can help you move forward with greater clarity.
Tell us what you are working on, the decision you are facing, and where you need support. Qualified inquiries receive the most appropriate advisory option and next steps.
Book an Advisory Fit Call
Book an Advisory Fit Call
The more context you share, the more useful the first conversation will be.
Takes about 3 minutes. No payment required to apply.