16 AI services to take you from idea to everyday use
Five clear starting points, from choosing the right first step to keeping a live solution supported.
Plan & Validate
Choose a useful starting point and test it before a wider investment.
3 services
01
Service 01: AI Readiness and Use Case Assessment
Find the right place to start with AI
We review how your team works and recommend a practical starting point, with clear priorities and an outline of the work involved.
Challenge, example and benefit
The challenge
You see opportunities for AI but are unsure which would make a useful difference.
Example
We look at a finance team's daily tasks and identify where invoice handling could be simplified.
Potential benefit
A clearer investment decision before you commit to building a solution.
02
Service 02: Paid AI Pilot / Proof of Concept
Try one improvement before investing further
We run a small paid project with an agreed scope and measure the results before recommending the next step.
Challenge, example and benefit
The challenge
You want to know whether an idea will work with your documents, people and processes.
Example
Test whether AI can read invoice details and help staff review them more quickly.
Potential benefit
Evidence of what works, what needs improvement and whether a larger rollout is worthwhile.
03
Service 03: AI Solution Architecture and Consulting
Plan an AI solution that fits your business
We work with your team to define what the solution should do, what it needs and how it should be delivered.
Challenge, example and benefit
The challenge
You have an idea but need a clear plan for how it will fit your existing systems and budget.
Example
Create a practical build plan for an internal team developing an AI customer-service assistant.
Potential benefit
Clearer requirements and responsibilities before development begins.
Automate Everyday Work
Make document handling and routine work easier.
3 services
04
Service 04: Intelligent Document Processing
Reduce manual document work
We help collect the required information, check it against your rules and send uncertain items to a person for review.
Challenge, example and benefit
The challenge
Your team spends time reading documents and copying the same details into other systems.
Example
Read supplier names, invoice numbers and totals from invoices, then prepare approved information for your finance system.
Potential benefit
Less repetitive typing and a clearer review process, with improvements measured against your current approach.
05
Service 05: AI Workflow Automation
Reduce repetitive daily tasks
We connect routine steps and keep people involved wherever approval or judgment is needed.
Challenge, example and benefit
The challenge
Work slows down as people copy information, forward requests and chase the next step.
Example
A request arrives by email, its details are collected, a manager approves it and the business system is updated.
Potential benefit
Fewer manual handoffs and a more consistent process from request to completion.
06
Service 06: Custom AI Assistants and Agents
Give your team a task-focused AI assistant
We build an assistant for a defined task, with clear limits and human review where needed.
Challenge, example and benefit
The challenge
Staff repeatedly sort requests, search for details and draft similar responses.
Example
An assistant sorts support requests, finds relevant information and drafts a reply for a team member to approve.
Potential benefit
Less preparation work so your team can focus on the cases that need personal attention.
Connect Knowledge & Systems
Find approved information and connect AI with existing tools.
3 services
07
Service 07: Internal Knowledge Assistants
Find company information faster
We create a way to ask questions about approved company documents and see the information used for the answer.
Challenge, example and benefit
The challenge
Employees spend time searching folders or asking colleagues the same questions.
Example
An employee asks about a leave policy or operating procedure and receives an answer linked to the relevant document.
Potential benefit
Easier access to information, with access limited to what each employee is allowed to see.
08
Service 08: MCP Server and Tool Development
Let an AI assistant look up business information
We create approved connections that let it look up specific information or perform agreed actions, within defined permissions.
Challenge, example and benefit
The challenge
Your assistant cannot access the order or customer information needed to answer useful questions.
Example
An authorized staff member asks an assistant for an order status from your existing order system.
Potential benefit
More useful assistance without giving unrestricted access to your business systems.
09
Service 09: AI Integration with Existing Systems
Add AI to the software you already use
We connect AI features to your existing business software so approved information moves into the right place.
Challenge, example and benefit
The challenge
A separate AI tool creates extra steps because staff still have to transfer its results manually.
Example
Send reviewed invoice details into your accounting system without entering them again.
Potential benefit
Less duplicate work and an AI solution that fits your current way of working.
Improve & Support
Check quality, prepare for everyday use and keep the solution supported.
4 services
10
Service 10: AI Evaluation and Reliability Testing
Check whether your AI gives reliable results
We test it using realistic examples, identify recurring problems and give you a clear improvement plan.
Challenge, example and benefit
The challenge
You have an AI tool but are unsure how often its answers or actions are correct.
Example
Check a customer-service assistant against common questions, difficult cases and situations where it should ask a person for help.
Potential benefit
A better understanding of quality and a repeatable way to check future changes.
11
Service 11: AI Cost and Performance Optimization
Improve AI running costs and response times
We review how it works, test practical improvements and compare cost, speed and quality before and after changes.
Challenge, example and benefit
The challenge
Your AI solution is becoming expensive or taking too long to complete tasks.
Example
Find ways to process a batch of documents more efficiently while preserving the quality your team needs.
Potential benefit
A clearer cost picture and measured improvements where the workload allows them.
12
Service 12: Production Deployment and Operational Setup
Get your AI solution ready for everyday use
We prepare the working environment, user access, checks, recovery arrangements and handover.
Challenge, example and benefit
The challenge
A trial works, but your team needs a dependable way to use it in daily operations.
Example
Move a successful invoice trial into a live workflow with named users and clear instructions for handling problems.
Potential benefit
A planned transition from a trial to a supported business process.
13
Service 13: Managed AI Support and Maintenance
Keep your AI solution supported
We provide an agreed ongoing support service covering checks, issue handling, maintenance and controlled improvements.
Challenge, example and benefit
The challenge
Your business needs help when something fails or an update affects the way the solution works.
Example
Review document-processing issues each month and check that updates have not reduced quality.
Potential benefit
Clear support responsibilities and continued attention to the solution after launch.
Enable Your Team
Give people practical skills and clear rules for using AI.
3 services
14
Service 14: Claude Code Adoption and Developer Enablement
Help your software team work more efficiently
We help your team adopt Claude Code, an AI coding assistant, with practical training and clear review habits.
Challenge, example and benefit
The challenge
Developers spend time on repetitive coding, testing and explaining unfamiliar code.
Example
A developer uses AI to draft tests or explain existing code, then checks the result before using it.
Potential benefit
More support for everyday development tasks while keeping engineers responsible for quality.
15
Service 15: AI Training and Team Workshops
Help your people use AI confidently
We deliver practical workshops using relevant tasks, with guidance on checking results and knowing when to involve a person.
Challenge, example and benefit
The challenge
Staff are interested in AI but unsure how to use it well in their own roles.
Example
Train operations staff to review AI-prepared information or developers to use a coding assistant effectively.
Potential benefit
Practical skills your team can apply to everyday work.
16
Service 16: AI Governance and Technical Risk Review
Set clear rules for responsible AI use
We review the proposed use and help define access, review and responsibility rules.
Challenge, example and benefit
The challenge
You need clarity on what information AI can access, which actions need approval and who handles problems.
Example
Check that an assistant only sees approved customer information and asks for approval before an important change.
Potential benefit
Clearer oversight and fewer avoidable gaps. This service provides technical and operational guidance, not legal certification.
Illustrative example
How services combine: a retail product and order assistant
A retail client wants shoppers to ask product questions and check their own orders. One solution typically draws on several capabilities. Not every project needs all sixteen.
Discovery and solution planning may come before the pilot, and cost and performance improvements may follow measured use. Every project is scoped individually.
Solutions for your industry
See what AI could do in your sector
Five practical use cases for each of twelve industries, each with a suggested first pilot.
Retail and E-commerce
Help shoppers find useful information and reduce repetitive work for store staff.
Our certified architects are part of the Ceyentra team and work directly on our AI projects. Each credential is issued by Anthropic to the named individual and can be verified on Credly.
How we work
Start small, measure, then decide
1
Understand your process
Tell us where work slows down, who handles it and what a useful improvement would look like.
2
Test one focused solution
Agree a small pilot with clear scope, approved information and success measures.
3
Review the results
Compare quality, handling time, review effort and running cost with the current process.
4
Roll out and support
If the results justify it, agree wider use, software connections, staff training and ongoing support.
What is a pilot?
A pilot is a small, scoped project to check whether one solution works with your process and approved information. We agree the deliverables, fee, responsibilities and evaluation criteria before starting, record your current process and compare the trial against it, including human review effort and running cost. Separate test examples, not used to build the solution, are used for the evaluation. You then decide whether to expand, adjust or stop based on the findings.
No. Start with the task you want to improve. We help define the requirements and a suitable approach.
Can you work with our existing software?
We assess the available connections and access permissions. Where a suitable connection is available, we can scope integration with your existing systems.
What is a paid pilot?
It is a small project with an agreed scope and fee, designed to evaluate one use case before a wider rollout. You receive the agreed trial deliverables and findings to help decide the next step.
How much will it cost, and how long will it take?
That depends on the task, information, system connections and review requirements. We outline deliverables, timing and pricing in a scoped proposal.
How do you handle access to business information?
We agree the information the solution needs, who can access it and which actions require approval. Data-handling arrangements are defined for the particular deployment before sensitive information is used.
Will the AI make important decisions automatically?
The scope defines what it may do. Important approvals and professional judgments remain with the people your organization authorizes.
Do you provide support after launch?
Ongoing support, maintenance and regular quality checks can be included in an agreed support arrangement.
What does the team certification mean?
Members of the Ceyentra team hold the Claude Certified Architect – Foundations credential, issued by Anthropic to each individual, and they work directly on our AI projects. You can verify each credential through the Credly links in the team section. Your project proposal sets out the specific scope, deliverables and responsibilities.
