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Shift2Dynamic services

AI workflow automation for US teams

Build an AI automation pilot around a recurring task in your US business. We define approved inputs, exception paths and human approval before expanding the workflow or its operating cost.

RAG Processing Pipeline

INPUT
User Query
VECTOR DB
Semantic Search
LLM
Context Synthesis
OUTPUT
Grounded Response

Illustrative product interface — sample data, not client results or service guarantees.

What we can deliver

Practical capabilities, clear responsibilities and a reviewable handover.

How we approach the work

Illustrative sequence · select a stage to explore

Scope & delivery · stage 1

Understand

A possible automation pilot drafts a response or action from approved records and assigns uncertain cases to a named reviewer. The relevant US time zone and unattended periods are agreed before any consequential action is enabled.

Tools that fit the work

The implementation follows your requirements and existing setup. These are examples of tools and platforms we can scope for the project.

Language model APIsKnowledge retrievalWorkflow orchestrationEvaluation datasets

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Choose the specific delivery task you need. These detailed pages are currently in English.

POSSIBLE ENGAGEMENT · NOT A CLIENT CASE STUDY

An exception routed to the right US reviewer

A possible automation pilot drafts a response or action from approved records and assigns uncertain cases to a named reviewer. The relevant US time zone and unattended periods are agreed before any consequential action is enabled.

What you receive

A working pilot, workflow diagram, evaluation cases, usage visibility and a handover walkthrough.

What we need from you

Access to the relevant tools, approved source information and a person who can review exceptions.

What we agree separately

External platform fees, unrestricted autonomous actions and additional workflows are scoped separately.

How we review progress

Review time, answer quality, exception rate and cost per completed task.

Questions before we start

Which workflows should we automate first?

Start with a frequent task that has clear inputs, measurable effort and a manageable cost of error. We assess exceptions and approval steps before proposing a pilot.

Does every automation need AI?

No. Rules and API integrations often suit predictable tasks. We use AI where interpreting documents, language or unstructured information adds value.

Which US time zone will the workflow reviewer use?

We agree the actual team’s time zone, review window and exception owner. A US audience does not imply one nationwide working schedule.

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Working with your team

Our Bangladesh-based team agrees the relevant US time zone, review owner and meeting overlap for your project. We do not assume one time zone covers every US team or claim a US office.

Start with the problem you want to solve.

Share your priorities, current systems and language requirements so we can agree the right scope.

Discuss your project →