Product Development / SERVICE

AI Platforms & Assistants

AI tools, assistants and smart search for products.

SCOPE / DELIVERY

INVESTMENT FROM

1500 USD

We assess the task, available data, quality criteria and cost of errors before choosing a model or architecture. We build assistants, RAG search or automation with evaluation sets, access controls, logs and human fallback, which suits processes where outputs can be reviewed.

DETAILS / SERVICE SCOPE

What is included in AI Platforms & Assistants.

The exact scope is documented after task qualification. The outline below is a typical project structure, adapted to your inputs, market and constraints.

DELIVERABLES

  • Data and access audit
  • Citation-backed RAG search
  • Feedback interface
  • Logs, guardrails and quality evaluation

PROJECT OUTPUTS

  • A verifiable assistant with sources
  • Separated access to knowledge
  • An answer-quality evaluation set

TYPICAL STARTING POINT

Starting point: a support team is creating an internal AI assistant over its procedures and documents. Employees spend too long searching for answers, while unverified AI output can create operational risk.

This is an illustrative scenario, not a promise of a specific commercial outcome.

TOOLS & WORKSTREAMS

  • LLM
  • RAG
  • Vector Search
  • Evaluations

PROCESS / 04 STEPS

How we deliver AI Platforms & Assistants.

Before work starts, we document the inputs, responsibilities, measurable outputs and dependencies on external platforms or authorities.

  1. 01

    Task qualification

    We clarify the objective, business model, geography, constraints and success criteria, including any missing inputs that could affect the estimate.

  2. 02

    Scope and plan

    We document the deliverables, required documents, timing, price, external costs and the responsibilities of each party.

  3. 03

    Delivery

    We execute the agreed stages, demonstrate interim outputs and document decisions, access rights and approved changes.

  4. 04

    Launch and handover

    We verify the outcome against the criteria, hand over materials and access, and agree support and further development steps.

FAQ / AI Platforms & Assistants

What to know before starting.

01

What is required to start AI Platforms & Assistants?

We need a concise description of the business and objective, the current setup, target markets, desired timing and available source materials. After the initial review, we provide the exact document and access checklist.

02

How are price and timing determined?

The estimate depends on scope, complexity, the number of integrations or jurisdictions, input quality and external approvals. Before payment, we document deliverables, exclusions, mandatory external costs and acceptance criteria.

03

How is the outcome controlled after launch?

Stages and measurable outputs are documented before work begins. After launch, we hand over materials and access, document the solution and agree support, analytics and further development separately.

EXAMPLE / ILLUSTRATIVE SCENARIO

Project Example: AI Platforms

Illustrative scenario: a support team is creating an internal AI assistant over its procedures and documents.

The example shows a possible delivery scope and is not a claim about a specific client or a guaranteed outcome.