Use case selection
You have several ideas and do not know which has acceptable value, data, and risk.
AI services / consulting and development
AI consulting and enterprise AI implementation
From "we want AI" to one defined workflow with a baseline, a bounded pilot, and a clear decision to stop or expand.
Consulting that is tied to delivery
At ZharfAI consulting is not separated from implementation. The same team that defines the problem and assesses data readiness builds the pilot and is accountable for its measured result. If the assessment shows that AI is not the right solution, we say so plainly.
When you need this service
Readiness assessment
You want to know whether data, process, and ownership are ready before buying technology.
Pilot design
You need scope, acceptance criteria, evaluation data, and stop conditions for a defensible pilot.
Architecture and custom development
The use case is clear and its data layer, model, interface, and controls must be designed and built.
Enterprise agents
You want a multi-step agent with tools, an authority boundary, and decision logging.
Vendor evaluation
You have proposals from several companies and need an independent technical and contractual checklist.
The path
Four stages, each with a written deliverable; each stage can be a stopping point.
- 01
Discovery
Workflow, owner, data, risks, and baseline are documented. Deliverable: a one-page problem statement and readiness assessment.
- 02
Pilot design
Bounded scope, sample data, acceptance criteria, and stop conditions. Deliverable: pilot plan and staged estimate.
- 03
Build and validate
Build one narrow path and compare quality, time, review cost, and errors with the baseline. Deliverable: pilot report.
- 04
Deploy and hand over
Integration, monitoring, access, documentation, and training so your team can operate independently.
Principles we hold to
- Simplest sufficient solution
- Sometimes rules, search, or process redesign beat a model; we check this before proposing one.
- Ownership stays with you
- Data, configuration, documentation, and custom code belong to your organisation, and a supplier exit plan is defined.
- Risk and governance
- Risk, security, and human oversight questions follow the NIST AI RMF and OWASP guidance.
- No guaranteed claims
- ROI or improvement percentages are not declared before a pilot; results are measured with your own data.
Zharf
Live demoTry the ZharfAI assistant right now
Ask about Persian assistants, document automation, or how to start a pilot.
Frequently asked questions about AI consulting
How much does enterprise AI implementation cost?
Before the workflow, data, integrations, and deployment model are known there is no responsible number. Discovery starts with a limited cost and a written deliverable, and a staged pilot estimate follows so the larger decision is made with enough information.
Do you only advise, or do you also build?
Both. Advice without delivery responsibility usually ends in general recommendations. If you prefer delivery by an internal team or another supplier, the discovery and pilot design outputs are written to be transferable.
How long until we see results?
Discovery usually takes a few weeks and a bounded pilot a few months; exact timing depends on data access and integrations. The pilot result is a comparison report against the baseline, not a showcase demo.
Is this suitable for small companies?
Yes, provided there is one defined process and a usable data sample. The bounded pilot exists precisely to reduce decision risk for organisations that do not want to commit a large budget before seeing results.
What sets you apart from product-led companies?
We have no product to sell that your problem must fit. The solution is chosen after the workflow is understood and may combine existing tools, a ready model, and custom development. Our measure is a measurable result in your system.
Start with a problem, not a technology
In the first conversation we review the problem, available data, risks, and measurement plan, including whether AI is appropriate for it at all.