We map your processes, find where AI creates measurable value in cost, speed, or revenue, and score each opportunity by ROI and feasibility at no cost. If the numbers justify a pilot, we scope one fixed-scope engagement: a working prototype on your own data, then production with change management and measurement.
A consulting firm that has never looked at your processes cannot tell you which ones are worth automating. The pitch is generic, the platform is locked in from day one, and twelve months later the thing is still in UAT.
We work the other way. The assessment comes first and it comes free, built on your real processes and your real data: your volume, your error rates, your staff time, your cost per transaction. You see exactly where AI moves the needle and what each use case is worth in hours and money before any spending decision. If the assessment does not surface enough value to justify a pilot, we will tell you, and you owe nothing.
No procurement loop, no open-ended retainer, no platform decision forced upfront. The whole front end runs on one form and two short calls.
Work email and a short description of your operations: the processes that take the most manual effort, the data you have, and the outcomes you are trying to move.
We walk through your processes, score each by AI feasibility and ROI, and build a prioritised opportunity map: what to try first, why, and roughly what it is worth.
A short call to walk through the scorecard, the top use cases, and the realistic payback range for a pilot. You keep the assessment either way.
If a pilot is justified, we scope it as a fixed engagement on the highest-ranked use case. Working prototype on real data in three to six weeks. Then you decide whether to scale.
AI earns its place in a business by doing something with a number attached: cutting cost, accelerating a process, or growing revenue. These are the three areas where companies at the growth stage find the most reliable return.
Document extraction, data entry, compliance checking, report generation, and support triage are all processes that consume staff hours without adding judgement. AI handles the volume; your team handles the exceptions. The saving is measurable within weeks of a pilot. See Document AI and AI Automation.
Customer support queues, knowledge retrieval, and voice answering are processes where response time is a direct driver of satisfaction and conversion. An AI layer handles the routine cases around the clock, with a human escalation path for anything outside its confidence boundary. See AI Support Agent and Knowledge Assistant.
Forecasting, churn scoring, pipeline analysis, and personalisation are decisions businesses make repeatedly with imperfect information. A model trained on your own data and surfaced through a natural language interface materially improves the quality and speed of those decisions. See AI Analytics.
Want the methodology? The full assessment-to-scale process, with the AI value and feasibility matrix, the build-vs-buy decision, and the governance loop, is in the complete AI transformation guide. This page gets you the free assessment; the guide is the reference.
Every item in your AI opportunity scorecard follows the same structure: the process, the current cost or time, the AI approach, the feasibility score, and the estimated payback. The card on the right is illustrative. Your scorecard is built from your own process data.
Nothing in the assessment commits you to anything. You see the numbers and decide.
Model Document AI extraction + ERP API write-back Scope Structured and semi-structured PDF invoices Outcome >95% touchless rate, error rate under 0.3% Saving ~1.8 FTE equivalent, payback in pilot month 4
The assessment is always free. From there, the engagement scales with the scope and complexity of what you want to build. Prices are set after the assessment, written into the agreement before any work starts.
The AI Digital Transformation assessment is the entry point. From there, each use case maps to a specific service. A few pointers:
All six services in the AI line: Document AI, Support Agent, Voice Agent, Knowledge Assistant, Analytics, and Automation. Each one with its own free pilot.
Real projects, real numbers. Growth, automation, and digital transformation work across SaaS, hospitality, e-commerce, and professional services.
The full methodology for AI adoption: value and feasibility matrix, assess-to-scale roadmap, build-vs-buy decision framework, and governance loop.
Drop your work email and a brief description of your business. We reply within 24 hours to confirm scope and book a short discovery call. The assessment itself is free.
Two fields. We do the rest.
A free assessment on your real processes. A fixed-scope pilot only if the numbers justify it. Findings in two weeks.
Get a free AI assessment