Question 1

What does Cogninest AI actually do?

Accepted Answer

We are an agentic AI consulting and development partner. We design, build and run AI agents that read unstructured documents, reason over enterprise data, and execute actions across your existing systems plus the data engineering, cloud architecture and governance underneath them. We work across five service pillars and five industries, and we are an AWS Advanced Tier Services Partner.

Question 2

How is agentic AI different from a chatbot or from RPA?

Accepted Answer

A chatbot answers. An RPA bot replays a fixed sequence and breaks when inputs change. An agent reasons over the content of the work, decides what to do next, calls tools and systems to do it, and escalates when it is not confident. The practical difference is that agents handle the variable, judgement-heavy processes that were previously un-automatable.

Question 3

What does output-based pricing mean in practice?

Accepted Answer

Instead of per-seat licences or time-and-materials billing, we scope work into discrete, independently verifiable units of business value at a fixed price. You know what you are buying and what it costs before we start. If we deliver it faster, that is our margin and your earlier outcome nobody benefits from the engagement running long.

Question 4

How long before we see something in production?

Accepted Answer

Four to eight weeks for a first production workflow with real data and real users. Subsequent workflows in the same environment typically land in two to four weeks, because the integration surface, evaluation harness and governance foundation are already built.

Question 5

Do you work with companies that have no AI capability yet?

Accepted Answer

Most of our clients start there. You do not need a data science team, a completed data platform, or an AI strategy document. You need one process that is expensive, document-heavy or judgement-bound, and a decision-maker who can approve data access.

Question 6

Why should a mid-market company pick you over a large consultancy?

Accepted Answer

Scale of firm and scale of outcome are different things. Large consultancies staff mid-market engagements with their most junior people and price them like enterprise programmes. We are structured for organisations that need production systems rather than transformation decks narrower scope, senior delivery, fixed outcome pricing, and a first workflow live inside two months.

AI agents for financial services: quality, maintenance and supply chain

Where agents earn their place in financial services

Claims adjudication agent

Underwriting copilot

Fraud & anomaly monitoring

KYC & document review

Which pillars typically apply here

Where else we work

Governance, Risk and Compliance (GRC)

Energy

Retail

Media

Pharma

Food & Beverage

Healthcare and Life Sciences

CPG and Retail

Manufacturing

Questions buyers ask us first

Tell us the process you would automate first.