IncostraAI agents that run on data you can trust
Incostra builds AI apps and agent frameworks for enterprise teams, together with the data foundation they need to work in production.
Works with the systems you already run
- ERP
- CRM
- IT systems
- Marketing platforms
- Data warehouses
We build the apps your teams use and the agent framework underneath them
Most AI pilots impress in a demo and stall in production. The difference is rarely the model. It’s whether the agent can reach clean, governed data, and whether anyone can trust what it does. We build both halves.
AI apps your teams actually open
Built around the questions each role asks every day.
- Conversational analytics: ask in plain English, get an answer with the numbers behind it
- Role-based copilots for sales, marketing, supply chain and IT
- Interactive data apps and insights embedded in the tools people already use
An agent framework you own
The part that makes agents dependable enough for real work.
- Multi-agent orchestration across business functions
- Evaluation against real cases before anything goes live
- Security, guardrails and monitoring, with a person approving actions
Agentic AI is changing how enterprises operate
The shift is already in the forecasts. The businesses that benefit will be the ones whose data is ready first.
of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024
Gartnerof supply chain management solutions will include agentic AI capabilities by 2030
Gartnerpotential revenue uplift as agentic AI powers up to two-thirds of marketing activities
McKinseyof day-to-day work decisions will be made autonomously by agentic AI by 2028, up from 0% in 2024
GartnerSources: Gartner press releases (Mar 2025, May 2025, Jun 2025); McKinsey, “Reinventing marketing workflows with agentic AI” (2025).
From static reporting to intelligent, conversational operations
What changes for your teams when agents sit on a trusted data layer.
Fixed, static reports
Pre-built reports on sales performance, inventory, etc. that answer only yesterday’s questions
Personalised insights you can talk to
Ask questions in plain language and get answers tailored to your role
Siloed data, many versions of truth
Data scattered across ERP, CRM, marketing and IT systems that rarely agree
One governed source of truth
Integrated, quality-checked customer and product data trusted by every team
Manual data wrangling
Analysts spend hours extracting, reconciling and formatting data in spreadsheets
AI agents do the heavy lifting
Agents automate data prep, reconciliation and routine workflows end to end
Reactive decisions
Issues in supply, pipeline or campaigns are spotted after the impact is felt
Proactive, predictive actions
Agents flag risks early and recommend the next best action
Long IT request queues
Every new dashboard or data cut waits weeks in the IT backlog
Self-service & embedded intelligence
Insights delivered inside the business apps teams already use
Services that follow the stack, from data to decisions
Start where your business is today. Each service line builds on the one below it.
Data foundation services
Agents are only as good as the data they read. We connect your business applications into one governed, quality-checked source of truth.
- Assessment of current applications and advisory on data integration strategy
- Secure data integration pipelines
- Automated data masking and security compliance enforcement
Agentic data & AI enablement
We give agents the business context they need: shared definitions, searchable knowledge and the guardrails that keep them safe.
- AI strategy and implementation plan
- AI agent framework and evaluation
- Document intelligence
AI agents & applications
We build the agents and apps your teams actually use, inside the tools they already work in.
- Use-case-specific AI agents and Generative AI applications
- Interactive data apps to visualise complex data sets in real time
- Embedded insights and recommendations in existing business applications
Agents built for the way each team works
Each agent reads the same governed data and sees only what that role is allowed to see.
IT
An IT ops agent that triages requests and answers data questions without a ticket in the queue.
Sales
A sales agent that preps accounts, reads the pipeline and flags deals at risk before they slip.
Marketing
A marketing agent that tracks campaign performance and suggests where to move budget next.
Supply Chain
A supply chain agent that spots supply and inventory risks early and recommends the next action.
Leadership
Ask about the business in plain language and get answers from one trusted set of numbers.
AI agents only succeed when the data layer is ready
Wherever you are today, we help you climb deliberately, so the agents at the top have something solid to stand on.
Manual reporting
What happened?Monthly PPT and Excel packs built by analysts
Automated dashboards & alerts
What’s happening now?Dashboards that refresh themselves, KPI alerts
Self-service, conversational analytics
Why did it happen?Ask questions in plain English and explore on your own
Personalised AI agents
What should I do?Role-specific insights with recommended actions
Autonomous agents
Can you do it for me?Agents act inside workflows, with a person approving
Skipping levels 2–3 is why most agentic AI initiatives stall. Gartner predicts 60% of AI projects without AI-ready data will be abandoned through 2026.
Find where AI can pay back first in your business
Book a 30-minute discovery call. We’ll look at your systems, your data and one workflow worth automating.