AwaitSol
All AI ServicesAI Consulting & Strategy

Stop guessing which AI project is worth building

A focused discovery engagement that maps your workflows, sizes the ROI of every AI opportunity, and hands you a prioritized roadmap from first pilot to production.

Most AI initiatives fail before a line of code is written — they start from the technology instead of the problem. Our consulting starts from your operations: where time and money leak, which workflows are high-volume and data-rich, and which decisions would be better with a model in the loop.

You come out with a ranked list of use cases, each with the effort, timeline, risk, and expected return attached — plus a recommendation on what to build, what to buy, and what to leave alone. Whether you build with us or not, the roadmap is yours.

What's included

Everything AI Consulting & Strategy covers — from idea to a system running in production.

01

AI discovery workshops

Structured sessions with your team leads to map workflows end to end — every step, handoff, exception, and system involved.

02

Use-case & ROI mapping

Each opportunity scored on impact, feasibility, data availability, and risk, with the savings math written down before any build.

03

AI readiness audit

A review of your data, infrastructure, security posture, and team skills — and the gaps to close before AI can run reliably.

04

Build vs. buy advice

Honest recommendations on where an off-the-shelf tool is enough and where a custom system pays for itself.

05

Model & vendor selection

Choosing between OpenAI, Claude, Gemini, and open-source models on quality, cost, latency, and data-privacy requirements.

06

Pilot definition

A scoped first pilot with a single success metric — small enough to approve quickly, meaningful enough to prove the case.

Where it pays off

Common places teams put AI Consulting & Strategy to work.

Leadership

AI roadmap for the board

A prioritized, costed plan that turns “we need an AI strategy” into three concrete initiatives with owners and timelines.

Operations

Back-office opportunity scan

Finding the document-heavy, repetitive workflows where automation returns the most hours per dollar invested.

Product

AI features for an existing product

Identifying where copilots, search, or recommendations would genuinely improve your product — and where they'd just add noise.

Risk & compliance

Responsible AI guidelines

Policies for data handling, human review, and model usage so teams can adopt AI without creating new risk.

How an engagement runs

A typical timeline — scoped to your workflow in the first conversation.

  1. 1Week 1

    Discover

    Stakeholder interviews and workflow mapping across the teams in scope.

  2. 2Week 2

    Assess

    Data and systems audit, opportunity scoring, and build-vs-buy analysis.

  3. 3Week 3

    Prioritize

    ROI modelling for the top use cases and a recommended first pilot.

  4. 4Week 3+

    Roadmap

    A written roadmap and pilot plan you can take to leadership — or straight into build.

How we de-risk it

AI projects fail for predictable reasons. We design those failure modes out from the start.

ROI before code

Every recommendation comes with the savings math, so nothing gets built on enthusiasm alone.

Vendor-neutral

We're model-agnostic and will tell you when an existing tool beats a custom build.

Yours to keep

The roadmap and analysis are delivered in full, whether or not you continue with us.

Built by AwaitSol

Real AI Consulting & Strategy work from our portfolio.

Technologies we use

OpenAIAnthropic ClaudeGoogle GeminiLlamaAzure OpenAIAWS Bedrockn8n

Ways to work with us

Start with a pilot, bring in a full AI team, or add AI engineers to your own.

Start here

AI Pilot

A fixed-scope pilot around one workflow and one success metric — the fastest way to prove AI works for you.

  • Fixed scope and price
  • One workflow, one metric
  • Production-ready, not a throwaway demo

Best for: Teams proving the case for AI

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Most popular

Dedicated AI Team

A cross-functional squad of AI engineers, full-stack developers, and a delivery lead working as an extension of your team.

  • AI + full-stack skills in one team
  • Weekly releases and demos
  • Scales up or down with your roadmap

Best for: Companies building AI products

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Staff augmentation

AI-Enabled Engineers

Senior AI and LLM engineers embedded in your existing team to add capability fast — with knowledge transfer built in.

  • Engineers who have shipped AI
  • Works in your tools and process
  • Monthly, flexible engagement

Best for: Teams with a roadmap but no AI engineers

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AI Consulting & Strategy FAQs

Ready to find your first AI win?

A 30-minute call with an AI engineer — a straight answer on what to build, no sales pitch.

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