Automate & Secure
Business Process Automation
Workflow automation on n8n, Zapier or Make that removes repeated manual steps, starting with the process costing the most hours.
Practical AI, with honest limits stated
We build assistants, document processing and retrieval over your own data, and say plainly when AI is not the right tool.
Oneshot Digital Hub is a global technology services company that builds AI assistants and agents on OpenAI, Anthropic or Google Gemini, document processing pipelines, retrieval over your own company data, and WhatsApp bots, with guardrails and data-privacy controls built in from the start, for businesses in Nigeria, the UK, the US and Europe. You receive a working system, documentation and an honest view of where AI is not the answer.
- Deliverables
- Assistant or pipeline build, guardrails, testing and documentation
- Timeline
- 4–10 weeks
- Starting budget
- From $3,000
- Best for
- Businesses with one clear, repeated task to automate
What does AI & Automation include?
AI can genuinely remove repeated manual work: answering common customer questions, extracting data from documents, or finding an answer buried in years of company files. It is a poor fit for tasks that need judgement, legal accountability or perfect accuracy every time, and treating it as a universal fix usually produces a system nobody trusts. The right question is which specific task suits it.
We build assistants and agents on OpenAI, Anthropic or Google Gemini models, document processing that extracts structured data from invoices, forms or contracts, and retrieval-augmented generation that answers questions from your own manuals, policies and records rather than the open internet. WhatsApp bots handle common enquiries so your team only sees the questions that need a person.
We start every AI engagement by identifying which task genuinely benefits from it and being direct when a simpler automation or no AI at all would serve you better. Every system ships with guardrails against incorrect answers, controls over what company data the model can see, and documentation explaining how it works and where it can fail.
AI use-case assessment
An honest review of which tasks suit AI and which do not, before any build starts.
Assistant or agent build
A working assistant on OpenAI, Anthropic or Google Gemini models, scoped to a defined task.
Document processing pipeline
Automated extraction of structured data from invoices, forms or contracts into your systems.
Retrieval over company data
A system that answers questions from your own manuals and records, with sources cited.
WhatsApp bot setup
A WhatsApp Business bot handling common enquiries and routing the rest to a person.
Guardrails and data controls
Limits on what the model can access and say, agreed with you before launch.
Testing and accuracy review
Testing against real examples to measure where the system performs well and where it fails.
Documentation and handover
A written guide covering how the system works and how to maintain or retrain it.
Who is AI & Automation for?
Support bot for a Lagos retailer
A Lagos retailer needs common WhatsApp questions answered automatically, with complex cases routed to staff.
Document processing for a UK firm
A UK firm wants invoices and receipts extracted into its accounting system without manual data entry.
Internal knowledge assistant for company policies
Staff need quick, accurate answers to questions about internal policy documents and manuals.
Lead qualification assistant for sales teams
A sales team wants incoming enquiries summarised and scored before a human follows up.
- Fewer repeated questions reaching your support team
- Faster processing of documents without manual entry
- Answers grounded in your own data, not guesses
- A documented view of where AI should not be used
How does the work run?
01
Discovery and alignment
We learn what you want to change, who it affects, and confirm the goal and scope in writing.
02
Strategy and architecture
We plan the solution, stack and security model, then send a proposal with fixed scope, timeline and price.
03
Design and prototyping
You review wireframes or a clickable prototype and approve the direction before production code is written.
04
Engineering and development
We build in short, reviewed increments and show you working software in a weekly demo.
05
Security, testing and launch
Every release passes a security review, automated tests and a launch checklist before it goes live.
06
Continuous optimisation
After launch we monitor, measure and improve the system against the goal agreed at the start.
What does it cost?
From $3,000. Typical timeline: 4–10 weeks.
Prices depend on scope; every engagement gets a written fixed-price proposal after a discovery call. AI projects typically start from $3,000, and Nigerian clients can pay in naira by bank transfer.
Start a projectWhat we build it with
FAQ
Questions about AI & Automation
How long does an AI project take?
Most AI projects take 4–10 weeks, depending on data readiness and the complexity of the task. Your written proposal states the exact range for your project.
What does an AI or automation project cost?
Prices depend on scope; every engagement gets a written fixed-price proposal after a discovery call. AI projects typically start from $3,000, and Nigerian clients can pay in naira by bank transfer.
Is our company data safe if we use AI?
We agree data-handling rules with you before any build, including which models can see which data, and use guardrails to limit what the system can access or repeat.
Can you tell us if AI is not the right solution?
Yes; part of the engagement is an honest assessment of whether a simpler rule-based automation, or no automation at all, would serve the task better than AI.
Which AI models do you build with?
We build primarily on OpenAI, Anthropic and Google Gemini models, and use Hugging Face for open models when data must stay within your own infrastructure.