Connect your documents.
Prepare an approved collection of SOPs, manuals, handbooks, and policies. Establish source ownership, versions, and a simple refresh process.
DOCUMENT INGESTION & INDEXING
Ways to work with us3-week private AI assistant＋Custom-built AI workflows & agents＋Computer vision & predictive ML
OUR CLIENTS
Trusted by innovators applying AI to real-world clinical and operational challenges.
01 / READY-TO-LAUNCH AI ASSISTANT
Turn scattered company documents
into a private AI assistant.
A clear scope, a transparent flat rate, and a 3-week delivery. Give your team an AI assistant and chatbot that answers questions directly from your own documents.
Deploy your AI assistant & chatbot.
Launch the private AI assistant, conversational chatbot, and search interface inside your approved environment so staff can ask questions in plain English.
PRIVATE AI ASSISTANT & CHATBOT
Verify before expanding.
Test cited answers, follow-up questions, unsupported queries, and access controls with your team before signing off on the pilot.
EVALUATION, TRAINING & HANDOFF
02 / INTERACTIVE AI ASSISTANT EXAMPLE
Ask a question in plain English.
Check the cited source.
See how the AI assistant’s chatbot responds over company documents. This interactive example uses prepared fictional answers, not a live AI model or customer data.
SAMPLE EMPLOYEE QUESTIONS
Your AI assistant answers from approved company documents and cites the exact section so your team can verify every response.
What does a new operator need before their first shift?
The example onboarding guide lists three prerequisites: complete the orientation checklist, review the assigned work instructions, and have a supervisor confirm training. Check the current source before taking action.
SOURCE REFERENCEExample Operator Onboarding Guide · §2
Fictional example. Source references help review; they do not guarantee correctness.“Orientation and assigned work instructions must be reviewed, with training confirmed by the supervisor.”
03 / CUSTOM AI SOLUTIONS
Need something different?
We build custom AI around your needs.
You aren’t limited to an off-the-shelf package. We partner with teams to design, train, and integrate bespoke AI systems for specialized problems.
Custom AI workflows & agents.
Automate document intake, summarization, routing, reporting, and multi-step workflows connected directly to your internal software and databases.
WORKFLOW AUTOMATION & INTEGRATIONS↗
Computer vision & image analysis.
Custom vision models for quality inspection, defect detection, medical and scientific imaging, and automated visual monitoring.
COMPUTER VISION & IMAGING↗
Predictive & scientific ML.
Tailored machine learning models for forecasting, anomaly detection, equipment health, and interpretable analytics on your operational data.
PREDICTIVE ANALYTICS & CUSTOM ML↗
04 / PACKAGES & CUSTOM PRICING
Start with a clear pilot—
or scope a custom build.
USD implementation fees. Final deliverables, acceptance criteria, and a fixed quote are agreed in writing before work begins.
3-WEEK STARTER PILOT
Private AI assistant
$10,000transparent flat-rate pilot · 3 weeks
For one team ready to launch a private AI assistant and chatbot on internal company documents.
- One text-readable PDF, DOCX, or TXT collection (up to 500 documents / 5,000 pages)
- Private AI assistant & chatbot interface with clickable source citations
- Up to 10 individually authenticated users with shared document access
- Deployed in your private cloud or on-premises environment
- 50 agreed test questions, accuracy review, and team training
EXPANDED DEPLOYMENT
Multi-team assistant & integrations
$15k–$25kfixed quote after discovery
For teams that need larger document collections, role-based access, or live software connectors.
- Larger document volume and more user seats
- Connect one existing system or additional workflow
- Single sign-on (SSO) or role-based document permissions
- Expanded evaluation suite and operational handoff
- Typical 3–4 week delivery for qualified scope
BESPOKE ENGINEERING
Custom AI solution
Customscoped to your requirements
For organizations needing custom AI workflows, computer vision, predictive models, or specialized R&D.
- Custom workflow automation, AI agents, or domain-specific assistants
- Computer vision, imaging pipelines, or predictive ML models
- Complex data pipelines, OCR-heavy archives, or custom model fine-tuning
- Air-gapped, regulated, or specialized infrastructure requirements
- Phased milestones with clear technical deliverables
What’s separate from implementation fees?
Server hardware, cloud hosting usage, third-party software licenses, and 24/7 production SLAs are billed separately. Air-gapped installations and regulated workloads (such as HIPAA/PHI) are scoped under a dedicated custom agreement.
OPTIONAL / ONGOING CARE
Keep your AI accurate as documents and needs evolve.
Scheduled answer-quality evaluations, model updates, document index maintenance, and infrastructure reviews. Monthly scope and hours agreed separately.
$1,500–$3,000per month · separate agreementDiscuss ongoing care ↗
05 / HOW WE DELIVER
Clear checkpoints from
kickoff to handoff.
Whether you choose our 3-week AI assistant pilot or a custom AI build, every engagement follows structured milestones.
Scope & prepare
Confirm the workflow and success metrics, review your data boundary, prepare documents or datasets, and agree on the test plan.
Checkpoint: approved design & evaluation planBuild & integrate
Configure models and retrieval, build the AI assistant or custom workflow interface, apply access controls, and test end to end in your environment.
Checkpoint: working system in your environmentEvaluate & hand over
Run the agreed test suite, review edge cases, train your team, and deliver full configuration and operating documentation.
Checkpoint: acceptance review & handoff06 / WHERE TO START
Practical AI for
real operational bottlenecks.
Best fit: teams that value data privacy, measurable quality, and owning their deployment.
SOP assistant & visual inspection
Help operators and technicians find answers in manuals and procedures, or deploy vision models for quality and inspection workflows.
Internal knowledge & workflow automation
Let staff query policies, playbooks, and project archives via a private AI assistant, or automate repetitive document analysis.
Private AI & specialized modeling
Start with non-sensitive operational documents or partner with us on custom imaging, analytics, and privacy-first AI architectures.
07 / GOOD QUESTIONS
Know what
you’re getting.
Do you only offer the document AI assistant, or can you build custom AI?
We do both. Our 3-week Private AI Assistant is a popular, flat-rate starting point for company documents, and we also design and build fully custom AI solutions—including custom workflow automation, computer vision, imaging analysis, and predictive machine learning models tailored to your specific needs.
How does the AI assistant on company documents work?
Your team gets a private AI assistant with a browser-based chatbot and search interface connected to your approved SOPs, manuals, and policies. Employees ask questions in plain English, and the assistant retrieves the relevant passages to generate an answer with source citations so users can verify the exact document and section.
What does “private AI” mean here?
The model, document index, and assistant interface run in your approved on-premises or customer-managed private-cloud environment. We agree on model providers, outbound connections, logging, retention, and access controls before deployment.
Is this automatically HIPAA compliant?
No. Private hosting alone does not establish compliance. Any protected health information requires an appropriate risk assessment, safeguards, and applicable agreements. Our standard $10,000 starter pilot excludes PHI; regulated workloads are scoped as a custom engagement.
What happens if the AI assistant doesn’t know an answer?
We configure the assistant to answer from your approved documents and clearly state when information is missing rather than guessing. We test against an agreed set of questions before handoff, and every answer includes source citations for human review.
Do we need to buy new hardware?
Not necessarily. During discovery we check your existing cloud or on-premises infrastructure against document volume, model size, and user count. Hardware, cloud consumption, and third-party licenses are separate from our implementation fee.
What do we own after the project?
You retain your data and control of your deployment account. Handoff includes the agreed configuration, evaluation results, and operating guide. Ownership of custom code and deliverables is defined clearly in the statement of work.
SCHEDULE A DEMO OR DISCOVERY CALL
Tell us what you’d like
AI to help your team do.
Whether you want a private AI assistant for your company documents or a custom-built AI solution, we’ll review your goals and recommend a clear next step.
info@cognitronsystems.com ↗Milwaukee, Wisconsin · Working with teams remotely