Before writing a single line of code, we believe in honest assessment. Tick every statement that applies to your current situation. Your readiness score appears instantly below.
Your team can export or query at least one core dataset — customer records, transactions, logs, or inventory — in a structured format.
Someone with budget authority is actively championing the exploration of intelligent automation within the organisation.
There is at least one process — classification, forecasting, document review, routing — that consumes significant manual effort every week.
Staff are willing to adopt new tools and adjust existing processes when the benefits are clearly demonstrated.
You can articulate what "better" looks like — faster turnaround, fewer errors, higher throughput, reduced cost per unit.
Your organisation has thought about data governance, GDPR obligations, and any sector-specific regulations that apply to automated decision-making.
Select the statements above to see your personalised readiness assessment.
At Authentic AI Creators, we design and build AI software that solves specific operational problems — not generic chatbots bolted onto your website. Every engagement begins with a diagnostic conversation: what data do you have, what decisions do you need to make faster, and what does success look like in twelve weeks?
Our engineering practice spans natural language processing, computer vision, predictive analytics, and recommendation engines. We work in Python, deploy on containerised infrastructure, and hand over fully documented systems your internal team can maintain. If you need ongoing support, we offer retained partnerships calibrated to your growth stage.
We are deliberately small. That means you work directly with senior engineers who understand both the mathematics behind the models and the commercial pressure behind your deadlines. No account managers, no offshore handoffs, no surprises.
We organise our work into six capability domains. Each one draws on a different combination of algorithms, infrastructure, and domain expertise.
Time-series forecasting, demand prediction, churn modelling, and anomaly detection trained on your historical data. We validate every model against a holdout set before deployment.
Object detection, defect inspection, document digitisation, and visual search. We build pipelines that process images and video in real time using edge or cloud inference.
Sentiment analysis, entity extraction, summarisation, and intent classification. We fine-tune large language models on your domain vocabulary to maximise accuracy.
Collaborative filtering, content-based ranking, and hybrid recommenders for e-commerce, media, and internal knowledge bases. We optimise for engagement, revenue, or discovery — your choice.
Intelligent document routing, approval chains, and decision-support dashboards. We integrate with your existing tools — Salesforce, SAP, Slack, or custom APIs — so adoption is seamless.
Monitoring, retraining pipelines, bias auditing, and explainability reporting. We ensure your AI software stays accurate and compliant long after launch day.
We audit your data, interview stakeholders, and map the problem space in a structured workshop.
A working proof-of-concept is built within three weeks so you can validate the approach with real data.
The validated model is hardened, containerised, and integrated into your production environment.
We instrument dashboards, set up drift monitoring, and confirm the system meets your success criteria.
Retained support keeps models fresh, handles edge cases, and scales capability as your needs grow.
A UK-based wholesale distributor came to us with a persistent problem — regional warehouses were either overstocked or running short, and manual rebalancing was eating into margins. We built a demand forecasting model trained on three years of order history, seasonal patterns, and supplier lead times.
The model now generates weekly allocation recommendations that warehouse managers review in a lightweight dashboard. Since deployment, holding costs have dropped measurably and stockout incidents have fallen across every region.
Different starting points call for different engagement shapes. Select the pathway that matches where you are today.
You suspect AI could help but haven't pinpointed where. We run a two-week diagnostic sprint: data audit, opportunity scoring, and a prioritised roadmap you can act on immediately.
You know the problem and have the data. We scope, prototype, and ship a production-grade AI software component within a fixed budget and timeline — typically eight to twelve weeks.
Your AI software is live and needs ongoing care. We provide model monitoring, retraining, feature expansion, and on-call engineering support on a monthly retainer.
| Indicator | Green | Amber | Red |
|---|---|---|---|
| Data availability | Structured, accessible | Exists but siloed | Undigitised or missing |
| Executive sponsorship | Active champion | Interested but cautious | No sponsor identified |
| Team capacity | Dedicated liaison | Part-time availability | No bandwidth |
| Regulatory clarity | Policies documented | Under review | Unknown obligations |
| Success metrics | Quantified targets | Qualitative goals | Undefined |
Tell us a little about your situation and we will respond within one working day — usually sooner.
39 Gladstone Road, Upton Sipesham, England, IT4 4YO, United Kingdom
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