PhrikMedia Studio · AI Readiness
Put AI to work.
With control.
We help organisations find useful AI opportunities, redesign repetitive work and test controlled systems before committing to expensive transformation.
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Add a transparent “business brain” composition: organised documents, workflows, approval gates and one calm Phrik AI guide—not a humanoid robot.
The first principle
Do not automate confusion.
AI does not repair a broken process. It makes that process run faster—mistakes included.
Before choosing tools, we identify the business result, map the existing work, inspect the information AI would rely on and decide where human approval must remain. Sometimes the right recommendation is not AI.
Where AI may help
Find the work hiding inside the work.
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Research
Summarise documents, compare information, prepare first drafts and surface what needs human attention.
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Knowledge
Turn approved policies, manuals, products and institutional memory into a searchable internal knowledge experience.
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Repeated work
Reduce copying, sorting, routing, formatting, reporting and other repeatable administrative steps.
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Customer support
Answer routine questions from approved sources, capture context and escalate sensitive or uncertain cases.
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Content operations
Support ideation, adaptation, quality checks and publishing workflows without surrendering brand judgement.
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Decision support
Organise evidence and present options clearly. Accountable people still make consequential decisions.
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Add a transparent diagram: verified sources → AI workspace → approval gate → useful output, with a human visibly controlling the final action.
Our operating model
Assist. Verify.
Approve. Improve.
- Defined job: one bounded responsibility, not a magical digital employee.
- Approved knowledge: the system uses information the organisation has authorised.
- Permission limits: access is restricted to what the job requires.
- Human gates: sensitive actions require review before execution.
- Traceable tests: outputs are assessed against agreed examples and failure cases.
- Measured value: time, quality, cost or service improvements are compared with a baseline.
Starting engagements
Start small enough to learn.
Guide prices assume a defined scope. International prices reflect stakeholder, research, compliance and delivery complexity—not currency conversion.
Executive starting point
AI Opportunity Session
₦175,000 / $600
A focused working session for leaders who need clarity before buying tools.
- Pre-session questionnaire
- Two-hour leadership workshop
- Three candidate use cases
- Risk and readiness observations
- Concise next-step memo
No software build is included.
Recommended first engagement
AI Readiness Audit
₦750,000 / $2,500
A practical assessment of where AI could create value and what must be fixed first.
- Stakeholder interviews
- Up to five workflow reviews
- Information and tool inventory
- Prioritised opportunity matrix
- Risk, adoption and governance observations
- 90-day pilot roadmap
- Leadership presentation
Typical timeline: 2–4 weeks. No production system is included.
Test one use case
Controlled Workflow Pilot
From ₦1,500,000 / $5,000
A working prototype for one bounded, low-risk process with human approval.
- Workflow and baseline definition
- Tool and model recommendation
- Prototype configuration
- Test cases and failure review
- Human approval checkpoint
- Documentation and team handover
- Pilot findings report
Typical timeline: 4–8 weeks. Production hardening is a separate phase.
Organise institutional knowledge
AI Knowledge-Base Prototype
From ₦2,250,000 / $7,500
- Source-content inventory and boundaries
- Knowledge architecture and content preparation
- Search and conversational prototype
- Citations or source links where supported
- Role and access recommendations
- Evaluation set, documentation and training
Final pricing depends heavily on source volume, permissions, integrations and hosting requirements.
Keep momentum
AI Adoption Advisory
From ₦650,000/mo / $2,500/mo
- Monthly leadership working session
- Use-case and vendor evaluation
- Pilot oversight and quality review
- Prompt and workflow library maintenance
- Team enablement and adoption support
- Monthly progress and risk report
Minimum three months. Software development and vendor fees are separate.
Private or local AI begins with discovery.
Sensitive organisations may need private cloud, on-premise or locally hosted options. That decision affects hardware, model quality, maintenance, security, integrations and total cost.
Architecture discovery starts from ₦1,500,000 / $5,000. Engineering, infrastructure, cybersecurity testing and ongoing operations are separately scoped with qualified technical partners.
What we will not promise.
- Perfect or error-free AI outputs
- Staff replacement as the default objective
- Enterprise security certification we have not performed
- A proprietary foundation model where proven tools are more sensible
- Production deployment before data, risk and ownership are clear
- Guaranteed savings without an agreed baseline and adoption plan
How a pilot moves
Problem before platform.
01 · Define
Choose one business process and establish its current time, cost, quality and failure points.
02 · Bound
Set approved sources, permissions, forbidden actions, escalation rules and responsible owners.
03 · Test
Build the smallest useful prototype and test normal cases, difficult cases and intentional failure cases.
04 · Decide
Compare results with the baseline, document limitations and recommend stop, improve or scale.
Begin with the work
What repeats, slows down or gets lost?
Tell us the process, the people involved, the information it uses, the tools you already have and the result you want to improve.
Do not send passwords, confidential records or personal data through the enquiry form.