InsightCurry
Talk-n-Act

Tell AI What You Want Done. TalkNAct Builds the Workflow.

TalkNAct is a domain-agnostic Agentic AI platform that turns business objectives into dynamic multi-agent workflows. Describe what you need, screen resumes, score leads, segment customers or flag anomalies. TalkNAct determines the agents, tools, models and execution sequence required to get it done.

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TalkNAct turning prioritised experience, excluded variables and an alternative model into refined data, a new output and real-time adjustments

AI Shouldn't Require You to Build the AI.

Businesses know what they want AI to accomplish. Turning that objective into the right agents, models, tools and workflow is the harder part.

  • Orchestrate agent roles
  • Architecture is created
  • Execute & analyze
  • Act & refine

TalkNAct changes the starting point: you define the outcome; TalkNAct creates the architecture.

AI That Starts With the Outcome, Not the Workflow.

Describe the objective in natural language. TalkNAct determines the architecture required to accomplish it.

  • Describe
  • Architect
  • Execute
  • Analyse
  • Act

The architecture adapts to the objective instead of forcing the objective into a fixed workflow.

Feature 01

Describe the Outcome. Let TalkNAct Build the Architecture.

Start with a business objective, not a technical specification. TalkNAct determines the agents, responsibilities, tools, models and sequence required to execute it.

  • Natural-language objective setup
  • Dynamic architecture creation
  • Task-specific agents
  • Tool and model selection
A chat request flowing into TalkNAct, which fans out to search, analytics, document and settings agents and returns a growth chart
TalkNAct at the centre of a ring of specialised agents connected to tools, models and apps such as Excel, Slack, Gmail and Google

Feature 02

Build an Intelligent Multi-Agent Workflow.

Complex business problems need multiple specialised steps. TalkNAct coordinates agents, handoffs, tools and models into one execution flow.

  • Agents created for the job
  • Specialised responsibilities
  • Multi-LLM execution
  • Coordinated agent handoffs

Feature 03

Give AI the Data and Intelligence It Needs.

TalkNAct works with structured and unstructured inputs and can invoke analytics and ML methods when the objective requires them.

  • CSV, Excel, documents, resumes and text
  • Clustering and segmentation
  • Classification and prediction
  • Profiling and visualisation
Spreadsheets, PDFs, documents and images flowing into TalkNAct and out as charts, segments and insights
A result triggering a condition that either sends alerts and messages or updates databases and records

Feature 04

Turn Insights Into Action.

Workflows can continue beyond analysis and trigger downstream actions when results or defined conditions warrant it.

  • Agents created for the job
  • Specialised responsibilities
  • Multi-LLM execution
  • Coordinated agent handoffs

Feature 05

Stay in Control. Refine the Workflow Conversationally.

Users can review results and reshape the workflow in the same conversation without rebuilding the architecture.

  • Change requirements mid-flight
  • Adjust weights or models
  • Steer alerts and actions
  • Review before downstream action
A conversation with TalkNAct that reshapes an agent workflow from one chain of tools into a longer one

One Objective. Four Steps to Action.

  1. Define

    Describe the business objective.

  2. Architect

    TalkNAct creates the required agent architecture.

  3. Execute

    Agents process data, analyse and produce the outcome.

  4. Act & Refine

    Trigger actions and refine the workflow conversationally.

Designed Around the Objective, Not the Workflow.

  • Dynamic

    Creates the architecture required for each objective.

  • Multi-Agent

    Coordinates specialised agents across the workflow.

  • Model-Agnostic

    Uses models and tools according to each task.

  • Domain-Agnostic

    Supports different business problems with one underlying platform.

  • Conversational

    Lets business teams define and refine workflows in natural language.

  • Action-Oriented

    Moves beyond analysis into downstream action.

Designed Around the Objective, Not the Workflow.

TalkNAct architecture in seven steps: 1 Objective Understanding, 2 Architecture Engine, 3 Agent Orchestration, 4 Data & Analytics, 5 Multi-LLM Layer, 6 Action Layer, 7 Human Control

Flexible Plans Built Around Your AI Workflows.

Talk to an Expert

  • Pilot

    A specific use case or proof of concept.

  • Team

    For recurring AI workflows.

  • Business

    For cross-functional deployment.

  • Enterprise

    For organisation-wide scale.

FAQs

Questions? Let's Make Them Useful.

What is TalkNAct?
TalkNAct is a domain-agnostic Agentic AI platform that dynamically creates the multi-agent architecture required to accomplish a business objective.
Do I need to design the AI agents?
No. TalkNAct dynamically determines the agents required for the objective.
What data can TalkNAct work with?
It can work with structured and unstructured inputs including datasets, CSV and Excel files, documents, resumes, research data and text.
Do humans remain in control?
Yes. Users can review results, modify requirements, adjust models and control when automation is allowed to act.
How does TalkNAct work?
Users describe what they want to achieve in natural language. TalkNAct determines the agents, tools, models and execution sequence, then executes the workflow.
Can TalkNAct use different AI models?
Yes. Different agents can use different LLMs and tools based on the requirements of each task.
Can TalkNAct automate actions?
Yes. Workflows can trigger downstream actions such as notifications, updates, deliverables and routing based on results or conditions.

Your Business Knows What It Wants AI to Do.

TalkNAct Figures Out How.

Describe the objective. Let TalkNAct build the architecture. Put AI to work.

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