With AI now built into the core of the platform, Akabot’s latest AI features help enterprises build, understand, and troubleshoot automation faster, while giving IT and security teams the AI foundation and governance controls needed to deploy automation confidently at enterprise scale.
Table of Contents
Build Smarter With Akabot’s latest AI Features
Build, understand, and troubleshoot automation faster with AI.
Akabot Studio now puts AI directly into the hands of developers, from the moment they start building to the moment something breaks in production.
AkaNinja: Akabot AI Copilot for Developers
AkaNinja is a conversational, context-aware AI copilot for developers docked directly inside Akabot Studio. It reads the active project through context tags (@variables, @arguments, @activity, @output) and gives developers three things in one place: natural-language documentation search, real-time code and selector suggestions, and workflow summarization with fix recommendations for failed runs.
In practice, that means a developer can paste a runtime error log into AkaNinja and get a diagnosis in seconds instead of digging through logs for hours, and new hires get an always-available senior mentor instead of leaning on tribal knowledge. IT teams can also choose how AkaNinja is powered: a fully self-hosted AI Hub backend, or a lightweight cloud endpoint, so organizations with strict data-residency requirements can keep prompts on-premises.
Read the AkaNinja user guide →
Natural Language to Expression: AI-Powered Code Generation
Working alongside AkaNinja, Natural Language to Expression brings the same AI assistance directly into the Expression Editor. Describe a condition, calculation, or transformation in plain language and get ready-to-use VB.NET or C# code, validated live against your project’s actual variables and DataTables. It shares AkaNinja’s AI provider setting, so IT configures the connection once and both features are live.
Read the Natural Language to Expression guide →
Debugger: Faster Automation Troubleshooting
A full breakpoint-based debugger lets developers inspect live variables and step through workflows in real time. This cuts down troubleshooting time and reduces the mean time to resolution for production incidents.
Recorder: Simplifying Automation Development
By capturing human actions on web and desktop applications, this tool auto-generates functional Studio activities, including complex steps like loops and page navigation. This makes it easy for citizen developers and business users to prototype automations quickly.
Workflow Analyzer: Improve Automation Quality and Governance
A static code analysis engine that proactively inspects automation projects against configurable enterprise rules for security, maintainability, and performance, before the workflow ever runs.
Table Extraction: Automate Data Extraction
This wizard-driven activity extracts tabular data from complex, paginated Web, Windows, or Java interfaces directly into a DataTable, without needing a backend API.
C# Expression Editor for Faster Automation Development
Expanding beyond VB.NET, this dedicated C# editor offers syntax highlighting, real-time error detection, and contextual auto-completion, meeting modern developer expectations and speeding up coding time.
Scale With Confidence Using Akabot’s AI Features
Provide the AI foundation, governance, and controls needed to deploy automation securely at enterprise scale.
Building faster only matters if what you build can be trusted, governed, and deployed the way your organization requires.
Beyond developer productivity, Akabot’s AI features also strengthen the AI foundation and control layer behind enterprise automation.
AI Service Activities: Bring Generative AI Into Akabot Workflows
Studio’s AI capabilities extend beyond the copilot itself. AI Service Activities is a ready-made library of drag-and-drop building blocks that connects Akabot workflows directly to the world’s leading LLM providers, including OpenAI (GPT-4o), Google Gemini, Anthropic Claude, and Azure OpenAI, without writing a single line of API integration code. A single AI Scope activity handles authentication, connection, and session management; any Chat Completion or Text Completion activity dropped inside it inherits that connection automatically.
In practice, this means a developer can add a genuine reasoning step to any automation, such as summarizing a document, categorizing an inbound email, extracting key details from unstructured text, or driving a multi-turn conversation, the same way they’d add a Click or Type Into activity: drag it in, map a prompt, capture the output. Because the package is provider-agnostic, teams aren’t locked into one model vendor. They can start with one provider and switch later with minimal rework, and enterprise customers can route through Azure OpenAI specifically where stricter data-privacy requirements apply.
Read the AI Service Activities guide →
AI Hub: Secure Enterprise AI for Akabot Automation
AI Hub brings a full, self-hosted AI platform into Akabot Center, reusing Center’s existing identity, organization structure, and permissions, with no separate login required. It supports Retrieval-Augmented Generation grounded in a company’s own approved documents, cutting hallucination risk, along with full lifecycle management of AI Channels and four new granular permissions so IT can roll AI access out team by team instead of flipping one all-or-nothing switch.
For regulated industries, AI Hub is a crucial tool: it allows the AI platform to be hosted entirely on an organization’s own systems, with support for offline operation, so sensitive data never leaves the internal network or reaches a third-party cloud. This self-hosted setup also acts as the engine that powers AkaNinja for customers who choose to keep AI on-premises.
Password Policy for Secure Enterprise Automation
Centrally enforce minimum length, character complexity, MFA (mandatory or opt-in), keyboard-sequence blocking, and sensitive-word blocklists across every user account.
Retention Policy for Enterprise Automation Governance
Automatically clean up execution logs and task records on a configurable schedule (7 to 180 days), with selective rules by task state and a full audit trail of every policy change.
Akabot’s AI Features: The Next Step Toward Agentic Automation Ecosystem
Looking further ahead, Akabot’s latest AI features are part of the platform’s evolution into a full Agentic Automation ecosystem.
This vision includes a suite of automation platforms and ready-to-deploy AI agents built for specific enterprise functions, such as AkaPay for payment processing, AkaFlow for orchestrating multi-step customer engagement, AkaCheck for invoice and document validations, and AkaVision for document and image intelligence.
Rather than requiring teams to build every automation from the ground up, each agent is designed to function as a specialized digital teammate for its domain.
Together, these capabilities expand Akabot beyond traditional task automation toward an environment where AI can support understanding, reasoning, and increasingly complex enterprise automation.
Getting Started With Akabot’s AI Features
To use these new capabilities, make sure your team is running the latest version:
Explore the full Akabot documentation → docs.akabot.com
To discuss how Akabot’s AI features can support your enterprise automation roadmap, contact Akabot →.
