Use an existing Copilot
Best when standard Microsoft 365 assistance and grounded work context solve the job with configuration and adoption.
Lowest ownershipAI capability 05 · build for the bounded jobCustom where it matters.
Custom where it matters.
Controlled everywhere.
Temen designs custom applications, grounded experiences, agents, and model-powered services on Microsoft Foundry and Azure. Every solution begins with a defined job and ends with evaluation, human authority, operating evidence, and a customer-owned path forward.
Custom solution reference architecture
BOUNDED · EVALUATED · OPERABLEIdentityUser + workloadAgent / APITask state + policyTyped toolsAllowlisted actions
Foundry modelsSelected by evidenceFoundry IQAccess-aware knowledgeSafety controlsInput + output
EvaluationQuality + regressionTelemetryTrace + explainCost controlsRoute + limit
Choose the least-custom path that works
Custom is a design decision. Not a badge of sophistication.
Temen starts with the business job and evaluation criteria, then selects the lowest-complexity approach that meets the required experience, integration, control, and quality.
Automate the workflow
Best when deterministic rules, Power Platform, and limited AI classification or drafting carry most of the process.
Process-firstBuild a grounded agent
Best when a bounded user experience needs proprietary knowledge, tools, structured output, and system actions.
Custom orchestrationEvaluate fine-tuning
Appropriate only when representative data and tests show prompt, retrieval, and tool design cannot reliably produce the needed behavior.
Evidence requiredWhat custom actually means
Six layers designed as one accountable service.
Custom does not mean replacing every Microsoft capability or training a model from scratch. It means composing only the experience, evidence, intelligence, tools, and controls the job requires, then accepting ownership of how they behave together.
Purpose-built experience
A web, mobile, Teams, embedded, voice, document, or operational experience designed around the real job rather than a generic chat window.
Bounded orchestration
Explicit instructions, task states, typed tools, timeouts, approvals, retries, and prohibited actions that keep the system inside its operating contract.
Governed evidence
Access-aware retrieval across approved documents, records, APIs, databases, and media with citations, source identity, freshness, and uncertainty.
Evaluated intelligence
Frontier, reasoning, smaller, open, multimodal, routed, or tuned models selected against task quality, latency, cost, data, and regional requirements.
Authority and safeguards
Managed identity, least privilege, input and output controls, prompt-attack defenses, human checkpoints, rate limits, and complete decision evidence.
Production ownership
Tracing, quality evaluation, cost telemetry, alerts, incident response, versioning, rollback, change gates, support, and an improvement backlog.
Interactive solution-path assessment
Change the job. See the architecture respond.
Describe where the work happens, what evidence it needs, what actions it may take, and what proof exists. The staged assessment compares Copilot, workflow automation, a grounded Foundry solution, and fine-tuning in real time.
Shape the job. Watch the architecture change.
Choose the closest real-world condition in each row. The recommendation, path scores, decision gate, and solution-pressure map update immediately.
Solution patterns
Custom AI is not one architecture wearing six names.
The right pattern follows the job. Temen can combine these patterns, but each addition must earn its place through a requirement, evaluation result, or operational constraint.
AI-assisted application
A specific role needs a deliberate interface, structured output, source evidence, and human review.
- Typical shape
- Web or Teams · API · Foundry · approved data
- Example
- Technical investigation workspace
Grounded knowledge experience
Answers must reconcile private sources and respect the user’s access rather than rely on general model knowledge.
- Typical shape
- Foundry IQ or Search · identity · citations · evaluation
- Example
- Policy and procedure navigator
Transactional agent
The system must use controlled tools, inspect outcomes, stop on exceptions, and retain human authority.
- Typical shape
- Agent · typed tools · workflow · approvals · audit
- Example
- Service resolution coordinator
Multimodal document pipeline
The job begins with forms, scans, images, tables, or attachments that must become validated structured data.
- Typical shape
- Document intake · extraction · validation · case workflow
- Example
- Secure intake and exception review
Model-routed workload
Task complexity varies enough that one model would waste cost or miss quality and latency targets.
- Typical shape
- Model router · policy · task telemetry · fallback
- Example
- Tiered research and synthesis service
Task-specific tuned model
A measured behavior gap remains after prompts, retrieval, tools, routing, and workflow design have been evaluated.
- Typical shape
- Curated data · baseline · tuning · held-out evaluation
- Example
- Specialized classification or output behavior
Temen delivery path
Prove the smallest complete system before scaling the platform.
A prototype proves that something can generate an answer. A vertical slice proves that the identity, evidence, tools, controls, experience, evaluation, and operating model can complete one real job together.
Frame
Define the user, job, decision, source evidence, prohibited behavior, measurable outcome, volume, latency, and operating owner.
Baseline
Test the simplest viable Copilot, workflow, prompt, retrieval, and model options on representative cases before choosing the architecture.
Slice
Build one vertical path through identity, data, model, tools, experience, controls, telemetry, and human review.
Evaluate
Run expected, edge, adversarial, access, tool, latency, and cost cases. Record failures and compare against acceptance thresholds.
Pilot
Release to a controlled cohort with explicit support, usage limits, feedback, quality review, and authority boundaries.
Operate
Automate deployment, monitoring, regression tests, incident response, rollback, service reporting, and controlled improvement.
Evaluation before acceptance
“It gave a good answer” is not a release criterion.
Temen builds evaluation around the customer’s actual task, risk, sources, tools, and reviewers. The accepted baseline becomes a regression gate for model, prompt, source, tool, workflow, and policy changes.
Decision rule A model or architecture moves forward only when it clears the agreed quality and risk thresholds at an acceptable successful-task cost.
Evaluation contract
PRE-PRODUCTION GATETask quality
Does the result complete the defined job?
Task success, completeness, format validity, reviewer acceptanceGrounding
Can the user verify the evidence?
Citation correctness, source coverage, freshness, unsupported-claim rateTool behavior
Does the agent call the right tool safely?
Tool selection, argument validity, approval compliance, recoverySafety and abuse
Does it resist harmful or manipulative input?
Content safety, prompt attack tests, prohibited action attemptsSecurity and access
Does every request preserve authorization?
Identity propagation, oversharing tests, secret and log reviewService economics
Is useful work reliable and affordable?
Latency, successful-task cost, retries, cache value, quota and capacityRepresentative solution cases
Different jobs. Different evidence. Different authority.
These examples show how the same engineering discipline produces materially different systems. They are representative patterns, not claims that every customer should receive the same agent.
Evidence assistant for complex technical investigation.
Starting situation
An engineer must reconcile tickets, attachments, tenant evidence, product documentation, and prior resolutions without losing source context or exposing another customer’s data.
Temen design
A case-bound workspace retrieves only approved evidence, produces a cited investigation record, identifies uncertainty, drafts next tests, and pauses before any tenant change.
Turn mixed submissions into reviewable structured cases.
Starting situation
Forms arrive as PDFs, images, spreadsheets, email attachments, and handwritten material. Missing fields and conflicting values create a manual review queue.
Temen design
A multimodal intake service extracts a typed record, highlights confidence and source regions, validates business rules, requests missing information, and routes exceptions.
Guide diagnosis while the technician retains authority.
Starting situation
A technician needs asset history, telemetry, service procedures, parts, warranty conditions, and dispatch options during a live equipment incident.
Temen design
A mobile assistant assembles asset-specific evidence, proposes diagnostic steps, records observations, calls read-only tools, and requests approval for schedule or procurement actions.
Prepare an evidence-backed decision without inventing authority.
Starting situation
An account team must compare customer requirements, product capability, delivery assumptions, pricing sources, risks, and approvals before making an external commitment.
Temen design
A deal workspace grounds every claim, identifies missing evidence, drafts bounded narrative, produces structured review artifacts, and routes pricing or scope exceptions to named owners.
Build and release boundaries
What the AI may do is designed as carefully as what it can do.
Capability is not authority. Temen separates model reasoning from system permission, narrows every tool, validates every argument, and makes consequential decisions visible to the person who owns them.
- Retrieve evidence the current identity may access
- Classify, extract, compare, summarize, or draft within a typed contract
- Recommend a next step with sources and uncertainty
- Call an allowlisted read tool or prepare an action for approval
- Stop, explain the exception, and route it to a named owner
- Invent evidence, identity, approval, pricing, or policy
- Expand its own permissions or choose an unapproved tool
- Commit money, eligibility, access, safety, or external terms without authority
- Hide a failed tool call, unsupported claim, or low-confidence result
- Bypass rate, cost, content, data, evaluation, or release controls
Customer handoff
The customer receives an operable service, not an impressive prototype.
Temen documents why the solution exists, how it works, what it is allowed to do, how it was tested, how it is supported, and what must happen before it changes.
Solution and authority contract
Users, jobs, inputs, outputs, tools, decisions, approvals, prohibited actions, service measures, and owners.
Architecture and data-flow package
Components, identity, networks, sources, indexes, APIs, trust boundaries, regions, environments, and dependencies.
Model and evaluation record
Candidates, configurations, datasets, metrics, thresholds, results, known limitations, and the accepted baseline.
Threat and safeguard register
Abuse cases, prompt attacks, content risks, data leakage paths, tool misuse, mitigations, test evidence, and residual risk.
Deployment and operations runbook
Infrastructure, release, secrets, monitoring, alerts, quota, failures, incidents, rollback, continuity, and support ownership.
Change and improvement backlog
Production version, usage and cost baseline, feedback, defects, deferred scope, experiments, change gates, and next priorities.