AI Readiness Assessment
Four fixed-fee weeks across data, systems, process and people — the honest picture before you spend on build.
- Maturity scorecard
- Risk register
- Use cases ranked by value & feasibility
- 90-day roadmap
AI Transformation · B-Hive proof layer
AI transformation services — proven on your data before you scale.
Most enterprise AI never ships. We run a structured path — readiness, value mapping, then a contained PoC on your own data — so you see proof, not a pitch, before any scale commitment.
Why most AI stalls
- 03 70%+ of enterprise AI projects never reach production
- 02 78% of AI pilots stall before production
- 01 30d to a working agent on your data with B-Hive
Certified & recognised
ISO 27001
Information security
GDPR
Compliant
Reviewed on
Clutch
5.0 · 6 verified reviews
DesignRush
Listed agency
TechBehemoths
Top company
The path to production
Readiness → value → proof → scale
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Readiness audit
We assess your code, data, docs and context gaps — the real blockers are rarely the tech.
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Value mapping
Score use cases on feasibility × value to pick the first one worth proving.
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Contained PoC
A working agent on your own data in ~30 days, with clear success criteria up front.
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Scale, governed
Production path only after proof — human-accountable, data-sovereign, ISO 27001 aligned.
AI services
What an AI transformation is actually made of
Eight services that combine into one programme. Most clients start with an assessment and one agent, then expand where the numbers justify it.
AI Consulting Services
Which use case first, build or buy, what it is worth — decided with the team that will also deliver it.
- Value mapping and business cases
- Build-vs-buy per use case
- Target architecture
- Operating model and governance
AI Agent Development
Agents that read your data, decide and act inside your systems — specified first, evaluated before production.
- Single- and multi-agent workflows
- Tool and system access design
- Evaluation harnesses
- Human-in-the-loop controls
AI Automation Services
Process automation where the work is repetitive, high-volume and rule-heavy but never quite standard.
- Document and data processing
- Order, claim and ticket flows
- Product-data enrichment
- Exception handling
AI Chatbot & Voice Agent Development
Customer- and employee-facing assistants grounded in your own content, not generic model knowledge.
- RAG over your documents
- Support and internal helpdesk
- Voice agents
- Escalation and handover design
Machine Learning Development
Forecasting, classification and scoring where a model beats a rule — with MLOps so it survives contact with production.
- Forecasting and demand planning
- Classification and matching
- Anomaly detection
- MLOps and monitoring
AI Integration Services
The unglamorous part that decides whether AI reaches production: getting it into the systems people already use.
- ERP, PIM, WMS, MES, CRM
- APIs and event streams
- Identity and permissions
- Cost and latency control
Data Engineering for AI
Most stalled pilots fail on data, not models. We fix the foundation as part of the programme.
- Pipelines and warehouses
- Data quality rules
- Product and master data models
- Access and lineage
Built by Bintime · Proof layer
B-Hive
A live, working AI agent on your own data during Discovery — in 30 days. Not a slide deck, not a promise. B-Hive replaces the "selling air" problem: proof before any scale contract is signed.
- Working agent on your own data, any vertical
- Fixed-fee AI Lab engagement
- Secure, private, fully in your control
- The proof before scale — often the first deliverable
Find out which AI use case is worth doing first — on your data.
Where to start
Good first use cases to prove on your data
We score candidates on feasibility × value, then prove the first one with B-Hive in ~30 days — before any scale commitment.
Knowledge & document agents
Answer questions over your own docs, contracts and tickets — grounded in your data, not the open web.
Support & ops automation
Draft and deflect on the repetitive path, with humans kept on the exceptions and judgement calls.
Data enrichment & mapping
Classify, translate and enrich product or record data at scale — the same engine behind our PIM work.
Internal copilots
Put a governed agent next to a team's real workflow — measurable time saved, fully in your control.
Build vs buy
Custom AI or off-the-shelf AI?
Short answer: buy when the process is standard and your data is clean; build when the workflow is your advantage, the data is high-volume or messy, or integration depth decides the outcome. The assessment answers this per use case, before budget is committed.
| Off-the-shelf AI tool | Custom AI with Bintime | |
|---|---|---|
| Best when | The process is standard and already clean | The workflow is your competitive advantage |
| Messy, high-volume data | Needs cleaning before the tool works | Handled in the build — data first |
| Integration depth | Connectors only; edge cases stay manual | Direct into ERP, PIM, WMS, MES |
| Time to first value | Days — then a plateau | ~30 days to a working agent on your data |
| Cost shape | Per-seat licence, rises with usage | Project or team cost; the asset is yours |
| Data sovereignty | Vendor-hosted, vendor terms | EU delivery, ISO 27001, your environment |
Capabilities
What we build in an AI transformation
The AI, data and governance capabilities we bring — and the ones we leave behind with your team.
AI agents & automation
5- AI agent development
- AI workflow automation
- AI chatbots
- Voice agents
- Multi-agent orchestration
Models & pipelines
6- LLM pipelines
- RAG
- Fine-tuning
- Machine learning
- MLOps
- Evaluation harnesses
Data foundation
5- Data engineering
- Data quality
- Product-data models
- Warehouses & lakes
- Analytics & BI
Integration
4- ERP / PIM / WMS / MES
- CRM
- APIs & events
- Legacy systems
Governance & security
5- ISO 27001 processes
- GDPR
- EU AI Act readiness
- Human-in-the-loop design
- Audit trails
Enablement
4- AI readiness assessment
- Value mapping
- Team training
- Runbooks & handover
When companies need us
Scope your AI readiness assessment.
Tell us where AI should help. We reply within one business day with the assessment scope, or the pilot we would run first.
- A board or CEO mandate to get AI into production
- An AI pilot that stalled before it reached production
- Nobody can say which use case is worth doing first
- Data is messy, siloed or too high-volume for off-the-shelf tools
- A build-vs-buy decision waiting on evidence
- EU AI Act and GDPR questions blocking a rollout
ISO 27001 certified · GDPR compliant · 100+ engineers · 20+ years · zero failed deliveries
Thanks — request received.
We reply within one business day with next steps.
Questions
AI transformation services — FAQ
What are AI transformation services?
AI transformation services move a company from AI ambition to AI in production: readiness assessment, value mapping, a contained pilot on your own data, then scale-up with governance. The output is working software and a roadmap, not a slide deck.
What is an AI readiness assessment?
A fixed-fee four-week assessment of your data, systems, processes and team: a maturity scorecard, a risk register, AI use cases ranked by value and feasibility, and a 90-day roadmap.
What is the difference between AI consulting and AI development services?
AI consulting decides what to build and in what order; AI development builds it. Bintime does both in one engagement, so the recommendation and the delivery are owned by the same team.
How long does an AI pilot take?
About 30 days for a working agent on your own data, fixed-fee. If the pilot does not prove value, you stop there — that is the point of proving before scaling.
Do you build AI agents, chatbots and voice agents?
Yes: AI agent development, AI workflow automation, chatbots and voice agents, plus the LLM pipelines, RAG and evaluation harnesses that make them reliable in production.
Should we build custom AI or buy an off-the-shelf tool?
Buy when the process is standard and the data is clean. Build when the workflow is your competitive advantage, the data is high-volume or messy, or integration depth decides the outcome. The assessment answers this per use case before you commit budget.
Is our data safe during an AI engagement?
Yes. Delivery is from the EU (Netherlands and Estonia), ISO 27001 certified and GDPR compliant, with data-sovereign, audit-ready processes and human-in-the-loop design where decisions carry risk.
Prove AI on your data in weeks, not quarters
A 20-minute call. We'll pick a candidate use case and scope a fixed-fee AI Lab pilot on your data. No pitch.
ISO 27001 certified · GDPR compliant