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    Smarter People

    Reduce cognitive load. Put trusted enterprise intelligence into everyday work.

Overview

Smarter People focuses on the individual experience of work. We help employees and customers find the right information faster, understand context, make better-informed decisions, complete routine interactions with less effort, and adopt AI confidently. The goal is to improve individual productivity by reducing cognitive load and time lost to search, interpretation, and repetitive work, giving people more capacity for judgment, creativity, customer interaction, and higher-value work. 

The Challenge

People spend too much time searching for information, interpreting fragmented knowledge, switching between systems, and repeating routine work, all of which directly limit productivity. At the same time, enterprises are rolling out copilots and AI platforms that often lack role-specific context, trusted enterprise knowledge, or a clear adoption model. Instead of improving productivity, AI can become another tool people need to learn, verify, and work around. 

What We Deliver

  • Role-aware AI assistance. We give employees and customers assistance across the moments where people lose time, context, and productivity: finding and applying knowledge, supporting decisions, completing common requests, and learning new ways of working with AI.

  • Knowledge and adoption foundation. We build the enterprise knowledge foundation and adoption model required for these capabilities to become trusted parts of everyday work and deliver sustained productivity improvement.

  • Trusted, grounded answers. Assistance draws on governed enterprise context rather than raw retrieval, so people get consistent, cited answers they can act on with confidence. 

How We Do It 

We bring together Semantic Engineering, reusable enterprise context, opportunity prioritization, and governed execution to help people and AI work more effectively across the business.

Structure enterprise meaning

Semantic Engineering structures enterprise meaning and relationships as governed context.

Make context reusable

Semantic Knowledge Graph (SKG) and Entity-Context-Linking (ECL) make that context reusable across copilots and knowledge experiences.

Shape and prioritize opportunities

KAPS and AI Prism help shape and prioritize the right opportunities.

Progress to governed action

SPEX is used where an assistant or self-service interaction needs to progress into a governed action, custom engineering, or scaled business adoption. 

What We Enable

Enterprise AI Strategy & Advisory

Enterprise AI Strategy & Advisory

Shape and prioritize AI opportunities across people, processes, and products, with clear value, readiness, and execution paths.

AI Copilot & Knowledge Assistants

AI Copilot & Knowledge Assistants

Help people find, synthesize, compare, and apply enterprise knowledge with role-aware, source-grounded assistance.

Customer and Employee Self-service

Customer and Employee Self-service

Make routine service easier for users and lighter for service teams through grounded answers, approved actions, and context-aware human handoff. 

AI Enablement and Workforce Adoption

AI Enablement and Workforce Adoption

Redesign how roles work with AI, build practical skills and confidence, and measure whether adoption is creating real productivity value.

Enterprise Intelligence & Knowledge Layer

Enterprise Intelligence & Knowledge Layer

Create reusable enterprise context so people and the AI assistants they use work from connected, governed organizational knowledge. 

AI-Native Product Engineering

Enterprise AI Strategy & Advisor

Shape and prioritize AI opportunities across people, processes, and products, with clear value, readiness, and execution paths. 

AI-Led Legacy Modernization

AI-Led Legacy Modernization

Reconstruct complex applications, define the target state, and execute controlled modernization or software transformation with ASIMOV.

Forward Engineering

Forward Engineering

Carry modernized system knowledge forward into new features and services so the application can evolve without immediately rebuilding architectural debt.

Product Portfolio Rationalization

Product Portfolio Rationalization

Use business and engineering evidence to decide where to invest, consolidate, re-engineer, maintain, or retire across the product portfolio.

AI-Augmented Software Engineering

Extend AI beyond coding into impact analysis, development, testing, documentation, review, and release.

SaaS Agentification & Embedded AI Features

Add intelligent capabilities and agentic experiences to existing SaaS products while respecting the product architecture, user experience, and operating constraints.

AI-Led Brownfield Support

Make complex live applications easier to understand, support, enhance, and transition toward modernization when the business is ready.

What You Get 

Less time spent searching, reconciling information, and switching between systems 

Faster access to trusted knowledge and role-relevant decision support 

Faster onboarding and knowledge transfer with less dependency on a few experts 

Easier self-service and less repetitive handling for customer- and employee-facing teams 

Higher adoption of AI capabilities that fit real roles and ways of working 

Proof Points

Documented Smarter Products engagements span brownfield modeling, continuous engineering, and program-scale modernization.

01

Brownfield application intelligence

A 2M+ line codebase modeled in approximately 2-3 weeks; impact analysis across a 1.6M-line application graph completed in about eight minutes.

02

Continuous engineering

93.4% test coverage generated from the model, with 23% fewer defects reported on the same team and codebase after adoption.

03

Modernization at scale

15M+ lines modernized across mainframe, Java, and desktop systems.

Why Accion

People productivity first

We start with knowledge friction, cognitive load, and repetitive effort rather than leading with chatbot or automation features.

Shared enterprise context

Semantic Engineering, SKG, and ECL create reusable grounding so people get more consistent answers across AI experiences. 

Assist first, act where useful

Copilots support knowledge and decisions; SPEX is brought in only where a user interaction needs governed action or deeper engineering. 

Built into existing work

We integrate with the productivity, service, knowledge, and business platforms people already use instead of creating another destination. 

Adoption is part of the solution

KAPS, AI Prism, role-based enablement, and SPEX adoption capabilities connect opportunity selection, user support, evidence, and scale.

Scale behind every engagement

The combined experience of approximately 5,000 engineers and a proven platform set stands behind each rollout, so what works for one team can extend across functions with the same grounding and governance.

Identify where trusted AI can remove the most cognitive load and improve how your people work.

FAQs

Smarter People is Accion Labs' approach to improving how employees and customers find and use enterprise knowledge, make decisions, complete routine interactions, and adopt AI in their everyday work. It combines enterprise intelligence, role-based copilots, self-service, and workforce enablement on a governed foundation. 

Enterprise AI Strategy & Advisory; AI Copilot & Knowledge Assistants; Customer and Employee Self-service; AI Enablement and Workforce Adoption; Enterprise Intelligence & Knowledge Layer. 

Semantic Engineering structures enterprise context as governed knowledge and relationships. SKG and ECL provide reusable grounding and source evidence, while role-based access, validation, and human oversight keep assistance appropriate to the user and use case.