AI Consulting & Proof of Concept
Turn an AI idea into a decision you can act on. Review the workflow, available data and business constraints, then test a focused proof of concept before committing to a wider build.
Explore AI consulting & pilotsAI consulting, development & automation
Practical AI.
Built around you.
From a focused pilot to an AI-powered product. Connect your knowledge, applications and workflows with eight services shaped around a real business need.
Overview
Bring AI into
a useful business workflow.
AI becomes useful when it supports a specific task: finding information, preparing content, reviewing documents or connecting steps across applications. The model is one part of the solution, alongside data, interfaces, permissions and the people using the result.
Our AI services cover consulting and pilots, product development, workflow automation, search, document processing and custom machine learning. We help define a focused starting point, evaluate the evidence and plan integration and ongoing ownership before expanding the solution.
Fields of Expertise
Useful by design.
Connected by engineering.
Start with clarity, build the right experience and keep improving it. Explore a focused service or connect several into one delivery plan.
AI Agent Development & Workflow Automation
Build task-focused agents that work with your existing applications. Define which tools they may use, which steps need approval and how people take over when a workflow needs attention.
Explore AI agents & automationGenerative AI Application Development
Bring generative AI into a web application, mobile experience or internal product. Connect the model, supporting information and interface around a specific task people need to complete.
Explore Generative AI applicationsAI Chatbots & Voice Assistants
Shape conversational experiences for customer support, product guidance and appointment enquiries. Plan the approved knowledge, supported channels and handoff to a person as one connected journey.
Explore Chatbots & voice assistantsEnterprise AI Search & Knowledge Assistants
Connect an assistant to approved business information using retrieval-augmented generation, or RAG. Help people find relevant passages and inspect sources, with access rules carried through to the answer.
Explore AI search & knowledgeIntelligent Document Processing
Turn document-heavy work into a structured review process. Extract and classify information from agreed formats, validate important fields and send uncertain results to the people who can check them.
Explore Document intelligencePredictive Analytics & Custom Machine Learning
Explore forecasting, classification, recommendations or anomaly detection using suitable historical data. Compare the model with a practical baseline and make its limitations visible to the people using it.
Explore Predictive analytics & MLAI Evaluation, Deployment & Ongoing Support
Prepare an AI feature for release and continued ownership. Establish repeatable quality checks, observe failures and operating costs, and agree how changes are reviewed before they reach users.
Explore AI evaluation & supportStart with one useful question. Review the opportunity, test a small prototype and decide the next step with evidence.
Explore AI consulting & pilotsTech Stack
Application and data tools for practical AI.
Connect model capabilities to approved information, business systems and useful interfaces. Select providers and deployment options around the task and data requirements.
Python
Services & automation
Node.js
JavaScript on the server
MongoDB
Document databases
SQL Server
Structured business data
AWS
Cloud infrastructure
Azure
Cloud applications
The final stack is selected around your existing systems, data and delivery needs.
Our process
A focused pilot.
A considered next step.
Build enough to test the idea, learn from the evidence and agree whether to expand. Design, engineering and your business team work towards the same goal.
Let's talk about your projectDiscover & define
Understand the task, the users and the available data. Agree what the pilot should prove and what sits outside its scope.
What you take forwardUse-case brief & evaluation plan
Prototype & evaluate
Test a focused approach with approved examples. Review useful results, failure cases and the effort needed to check the output.
What you take forwardEvidence for a go / no-go decision
Integrate & release
Build the agreed experience into the product, including access controls, human review, testing and fallback behaviour.
What you take forwardAn agreed, tested release
Monitor & improve
Review feedback and performance with a named owner. Plan updates, operating costs and when the approach should be reassessed.
What you take forwardA support & improvement plan
Key Benefits
Useful assistance.
A clearer next step.
Focus AI investment on specific improvements that your team can evaluate in the context of real work.
Less Repetitive Preparation
Help people prepare drafts, organise incoming material or extract information, with review steps suited to the task.
Knowledge in Context
Bring relevant approved information into the workflow so users can inspect the source context alongside a suggested answer.
More Consistent Review
Use agreed evaluation cases and visible checkpoints to review new models, prompts and workflow changes before release.
Evidence for the Next Investment
Use pilot findings, limitations and operating costs to decide whether to improve, expand or stop a particular approach.
Why Engross Infotech
A real workflow.
A reason to use AI.
We start with the work people need to do, then evaluate the approach with your team before expanding its scope or access.
Get to know EngrossWorkflow Before Model
Review the users, information and decisions involved before choosing a model. A focused automation or conventional feature may be the better fit.
Evidence Before Rollout
Compare representative results with the current approach. Include failure cases, review effort, response time and ongoing usage costs in the decision.
Permissions by Design
Define approved sources, tool access and retention requirements before connecting AI to business information or actions.
People With Ownership
Keep reviewers, escalation paths and operating responsibilities clear. Agree where people must check, correct or approve the output.
FAQs
Frequently asked
questions.
Where to begin with AI, how to choose a useful use case and what a wider implementation involves.
Discuss your projectHow do we choose which AI opportunity to start with?
Start with a specific workflow, its current pain points and the information available. We compare potential uses by usefulness, feasibility and review effort, then define a focused pilot where the results can inform a clear next decision.
Do we need to select a model or provider before speaking with you?
No. The task, expected quality, data handling, integration needs and operating costs guide the selection. An existing provider or infrastructure preference can be included as a constraint in that review.
Can AI features connect to our current products and business tools?
They can, depending on the systems, APIs and permissions available. We review the intended data flow and actions before scoping integration, with validation, access boundaries and a clear manual path where the feature needs assistance.
How do you evaluate AI output before a rollout?
We agree representative examples and a baseline, then test useful results and failure cases. Quality, response time, review effort and cost are considered together. Human review and release criteria are matched to the impact of the task.
Can we begin with a pilot and expand later?
Yes. A focused pilot can test the assumptions before a wider build. Its findings guide any next phase, including production access, integrations, deployment and support; a successful demonstration alone does not establish production readiness.