AI Knowledge Assistants
AI responses over trained business or organizational data sets, including content hosted on SharePoint websites.
- Knowledge retrieval
- SharePoint content
- Useful answers
Practical AI inside real systems
AI-Enabled Solutions
Ashkore builds practical AI systems that improve search, review, decision support, content access, and user experience inside the workflows organizations already depend on.
Knowledge assistantsProposal reviewWebsite chat
Practical AI workflowKnowledge + review + action
Opportunity scoreCriteria, fit, risk, next step
Knowledge responseGrounded in approved content
SharePoint data
AWS or Azure
Review and oversight
What we build
AI features that belong inside working systems
Ashkore delivers AI-enabled solutions across knowledge retrieval, website chat, workflow review, proposal scoring, mobile and web applications, and secure LLM integrations.
AI Website Chat Experiences
Customized website chat experiences that help users find information, ask questions, and move through support or inquiry paths.
- Website chat
- Content-aware responses
- Lead and support flows
AI Proposal Review Workflows
Opportunity review and scoring systems that help teams identify, classify, and evaluate Federal, State, and Local requests for proposals.
- AI proposal review
- Scoring workflows
- Decision support
AI Workflow Automation
AI-enabled scoring, classification, triage, and review steps embedded into existing business and mission workflows.
- Triage
- Classification
- Review support
AI Features in Apps
AI-enabled phone apps, web applications, and mobile experiences that add intelligence where users already work.
- AI app development
- Mobile and web features
- User-facing utility
Secure LLM Integrations
Flexible LLM integration services across public model APIs, hosted Azure LLM solutions, hosted AWS LLM solutions, and existing cloud environments.
- Azure AI
- AWS AI
- Public LLM APIs
Problem to outcome
Turn AI from an experiment into useful workflow support
The strongest AI use cases are not detached demos. They sit next to the content, decision process, user interface, or review workflow where the work already happens.
ProblemTeams cannot quickly find answers inside large content sets
Outcome
AI knowledge assistants that make useful information easier to access.
ProblemManual review processes are slow and inconsistent
Outcome
AI workflow support for scoring, classification, triage, and review.
ProblemProposal and opportunity analysis is time-consuming
Outcome
Federal, State, and Local opportunity review workflows that identify and score RFPs.
ProblemWebsites lack useful self-service support
Outcome
Customized AI chat experiences embedded into public-facing websites.
ProblemAI initiatives feel disconnected from operations
Outcome
AI functionality embedded inside real SharePoint, web, mobile, and cloud systems.
ProblemTeams want AI value without security or maintenance chaos
Outcome
Flexible architecture across AWS, Azure, hosted models, and public LLM options.
Applied AI use cases
Concrete AI patterns Ashkore can build into real operations
These are practical AI solution areas grounded in Ashkore delivery: trained knowledge responses, customized website chat, Federal, State, and Local opportunity review, and AI-enabled phone apps.
SharePoint-trained knowledge responses
Ashkore can add AI responses about trained data sets hosted on SharePoint websites, helping users find clearer answers inside organizational content.
Customized website chat
Ashkore creates customized chat experiences for commercial customers hosted on their websites, tied to the content and workflow needs of the site.
Federal, State, and Local opportunity review
Ashkore has created a proprietary opportunity review process that identifies and scores requests for proposals.
AI-enabled phone apps
Ashkore can add AI-enabled features into phone apps and cross-platform application experiences when the AI function belongs inside the user workflow.
Model and infrastructure flexibility
Pick the model and hosting approach that fits the environment
Ashkore can work with public LLMs, hosted Azure LLM solutions, hosted AWS LLM solutions, and existing cloud environments. The right choice depends on data access, hosting needs, integration paths, budget, and operational risk.
Public LLMs
ChatGPT, Claude, Perplexity, USAi, and similar tools when public model access fits the use case.
Hosted Azure LLM solutions
Azure-hosted model approaches for teams already working inside Microsoft cloud environments.
Hosted AWS LLM solutions
AWS-hosted model approaches and AI services for teams building on AWS infrastructure.
Existing cloud environments
AI features integrated into the client cloud, website, SharePoint, web app, mobile app, or operational tool.
Secure architecture
How practical AI fits into production systems
Ashkore treats data, retrieval, business rules, models, applications, user oversight, and cloud deployment as one system. That keeps AI tied to the workflow instead of floating outside it.
AI-enabled solution coreData, retrieval, rules, model access, applications, review, and cloud deployment
Data source layer
SharePoint content, websites, documents, opportunity data, application records, and business sources
Retrieval and rules layer
Controlled retrieval, business rules, scoring criteria, orchestration, and workflow context
Model layer
Public LLMs, hosted Azure LLM solutions, hosted AWS LLM solutions, and model-specific integrations
Application layer
SharePoint sites, websites, custom web apps, mobile apps, and operational tools
Review and oversight layer
User interaction, decision support, review queues, scoring outputs, and human judgment
Cloud deployment layer
Azure, AWS, public APIs, hosted model endpoints, integration paths, and production support
AI in existing systems
Add AI where your users already work
Ashkore can embed AI into existing systems or build new AI-enabled tools when the use case requires it.
SharePoint websitesPublic-facing websitesCustom web applicationsMobile applicationsProposal review workflowsCloud-hosted operational tools
Who we support
AI for teams that need utility, not novelty
Federal, state, local, commercial, and nonprofit teams come to Ashkore when AI needs to connect to content, workflows, user support, or decision processes.
Federal, state, and local teams
AI for government workflows that need practical review, search, scoring, knowledge access, and decision support.
Commercial organizations
Custom AI solutions for websites, internal tools, proposal review, customer support, and workflow acceleration.
Nonprofits
Cost-conscious AI-enabled solutions for teams with operational bottlenecks and limited internal engineering capacity.
Why Ashkore
Practical AI implementation without the noise
Ashkore designs AI around the real workflow, the data source, the hosting model, the cloud environment, and the production tool the user actually touches.
Low overhead
Ashkore focuses AI work on useful system behavior: retrieval, scoring, user support, review workflows, and app features that can be maintained.
Award-winning teams
Experienced technology teams can connect AI to Microsoft 365, SharePoint, AWS, Azure, mobile apps, websites, and custom software.
No red tape
Direct engineering support helps teams choose the right model and hosting approach, then ship AI features inside production-ready tools.
Need AI inside a real workflow?
Build useful AI into the systems your team already depends on.
Bring us the content access, proposal review, website chat, app experience, or workflow problem. We will help shape the AI architecture and implementation path.
AI proposal reviewSharePoint knowledge assistantsAWS and Azure AIVienna, VA
FAQ
AI-enabled solution questions
What kinds of AI-enabled solutions do you build?
Ashkore builds practical AI-enabled solutions such as knowledge assistants, website chat experiences, workflow review systems, scoring and triage processes, and AI features inside web or mobile applications.
Can you create AI assistants using our internal data?
Yes. Ashkore can add AI responses over trained organizational data sets, including content hosted on SharePoint websites, when the use case calls for controlled knowledge access.
Do you build custom AI chatbots for websites?
Yes. Ashkore creates customized website chat experiences for commercial customers and can connect them to the content, workflows, and hosting approach that fit the client environment.
Can you integrate AI into existing SharePoint, web, or mobile systems?
Yes. Ashkore can embed AI-enabled features into SharePoint websites, public websites, custom web applications, mobile applications, proposal review workflows, and cloud-hosted operational tools.
Do you support both public LLMs and hosted Azure or AWS AI solutions?
Yes. Ashkore can work with public LLMs such as ChatGPT, Claude, Perplexity, USAi, and similar tools, as well as hosted Azure LLM and AWS LLM solutions.
Can you build AI workflows for proposal or opportunity review?
Yes. Ashkore has created a proprietary Federal, State, and Local opportunity review process that identifies and scores requests for proposals.
How do you approach security and deployment flexibility?
We treat model choice, hosting, data access, retrieval, oversight, and cloud deployment as architecture decisions, then fit the AI capability into the real system instead of treating it as a detached demo.