Custom Solutions
Custom AI workflows for your team's exact process.
TenderMind designs custom solutions for organizations that need more than an off-the-shelf workflow or catalog agent. Custom Solutions can be delivered as authenticated platform workflows or embedded agents inside approved AI tools.
Two custom solution types
Custom Solutions are split into two delivery models. The right choice depends on where the work should run, how controlled the process must be, and what output the team needs.
- Custom Platform Workflow
For fixed upload-and-output processes inside TenderMind.
A custom platform workflow is best when the organization needs a dedicated TenderMind interface, authenticated access, defined upload fields, repeatable processing steps, and a standardized final output.
- Dedicated workflow inside the TenderMind platform.
- Defined file upload structure and required fields.
- Consistent output format across runs.
- Suitable for review-heavy, document-heavy processes.
Typical input: Forms, RFQs/RFPs, contracts, proposals, Excel files, supporting documents.
Typical output: Reports, compliance matrices, codified structures, scorecards, review packs.
- Custom Embedded Agent
For recurring work inside approved AI tools.
A custom embedded agent is best when the team wants to run a structured agent inside tools such as ChatGPT, Copilot, Claude, or Gemini, using defined instructions, examples, source material, and output rules.
- Runs inside the organization's approved AI workspace.
- Uses custom instructions, terminology, and examples.
- Supports document analysis, drafting, Q&A, comparison, and summarization.
- Useful when a full platform interface is not required.
Typical input: Policies, contracts, board material, CVs, tender files, reports, internal notes.
Typical output: Briefs, tables, answers with citations, checklists, draft responses, evidence summaries.
Which delivery model fits?
Platform workflows are for controlled product-like processes inside TenderMind; embedded agents are for structured work inside existing AI environments.
- Dedicated upload form, assigned workspace access, and fixed report output.Custom Platform Workflow is better when the process should run as a controlled product workflow inside TenderMind.
- Agent that works inside ChatGPT, Copilot, Claude, or Gemini.Custom Embedded Agent is better when the team wants to keep working inside an approved AI environment.
- Repeatable analysis with scoring, status labels, or review logic.Either model can work; choose based on whether the solution needs a platform interface or embedded AI workspace.
- Multiple users, controlled workspace access, and recurring submissions.Custom Platform Workflow is better when access and process control matter more than conversational flexibility.
From workflow discovery to deployed solution
Custom Solutions are built around the way each organization already works.
Understand how the team works
Review the current process: documents used, people involved, repeated decisions, approval steps, templates, and bottlenecks.
Identify automation use cases
Identify recurring tasks that can become custom AI workflows, such as document review, extraction, comparison, drafting, Q&A, scoring, or reporting.
Tailor the solution to company material
Design around templates, terminology, source documents, internal rules, evaluation logic, and preferred output structure.
Build the first working version quickly
Turn the selected use case into a custom platform workflow or embedded agent using representative files and expected outputs.
Deploy, review, and refine
Refine based on reviewer feedback, output quality, edge cases, and workflow-specific requirements.
What can be customized
The value of a custom solution is the structure around the model: context, instructions, output design, access model, review logic, and evidence requirements.
- InputsFile types, required fields, supporting material, examples, templates, and source documents.
- InstructionsTask logic, terminology, definitions, internal rules, tone, and workflow-specific constraints.
- Output formatReports, tables, checklists, PDFs, Excel-ready matrices, JSON, summaries, and reusable briefs.
- Evaluation logicStatus labels, scoring rules, risk levels, criteria mapping, reviewer notes, and escalation flags.
- Evidence layerQuotes, page references, source file references, evidence flags, and stated-versus-inferred separation.
- Delivery modelAuthenticated platform workflow or embedded agent inside an approved AI environment.
Built around context, control, and human review.
Custom Solutions should be framed as controlled, review-oriented workflows. They use defined source material, clear output structures, and review boundaries so teams can inspect and reuse the result instead of relying on generic AI responses.
- Defined contextDocuments, examples, rules, templates, and source material.
- Controlled outputFixed formats, labels, sections, and review notes.
- Evidence where neededSource references, quotes, and traceability.
- Human reviewOutputs support decisions; they do not replace accountable reviewers.
Need a solution that matches your exact workflow?
TenderMind can help define whether your use case should become a custom platform workflow, a custom embedded agent, or a tailored output layer around an existing process.