01
More tools. More fragmentation.
Who uses which model, and what can each application access?
Separate departmental integrations scatter model settings, accounts and usage data, leaving the business without a shared view.
Enterprise AI control plane & digital workforce
Put AI to work.
Let people focus on value.
Start with repetitive knowledge work. Give your team more time for judgment and creativity, then bring proven ways of working to more people.
Meet your digital workforceBUILT FOR THE WAY YOU WORK
01 / FROM USING AI TO MANAGING AIAs AI enters the business,
As AI enters the business,
new questions emerge.
More departments. More models. More agents.
Connection, collaboration and governance must work together.
02
Individual expertise. Limited reuse.
How can more teams benefit from experienced employees' judgment?
Knowledge, processes and experience sit with individuals, making it difficult for digital workers to follow company rules and contribute consistently.
03
AI needs clear boundaries.
What data may leave, and which actions need approval?
When agents read documents, call tools and act in business systems, permissions and traceability become essential.
04
Visible spend. Unclear value.
What did AI cost, and how much useful work did it complete?
Call counts alone do not explain business value. Connect quality, human involvement and cost per successful task.
FLAGSHIP PRODUCT / X WORKERYour company's experience.
Your company's experience.
Your team's ability to act.
Build reusable capabilities from the way your company already works. Start with a clearly defined task, without redesigning every process at once.
Explore X Worker
Fit into existing workflows
Keep your approval policies and business systems. First agree on data scope, access permissions and exception handling.
Validate with real samples
Set acceptance criteria using real tasks. Examine human edits and rework, then refine knowledge and execution methods.
03 / CAPABILITY IN EVERYDAY WORK
Start with a concrete task.
Organize knowledge, roles and workflows around a clear deliverable.
Then bring proven methods to more teams.
X WORKER / Contract review
From contract documents to review-ready recommendations.
- Input materials
- Draft contracts, procurement policies and standard clauses
- Before adoption
- Legal and business owners approve recommendations before they enter the contract workflow.
X WORKER / Research and analysis
From scattered sources to a well-supported research brief.
- Input materials
- Industry materials, research questions and analysis templates
- Before adoption
- The research owner reviews data and conclusions before adoption.
X WORKER / Enterprise knowledge
From repeated questions to answers with sources.
- Input materials
- Policies, process documents and past Q&A
- Before adoption
- Document owners approve updates; restricted access prompts an access request.
X WORKER / Manufacturing documentation
From technical materials to structured deliverables.
- Input materials
- Technical manuals, customer requirements and standard document templates
- Before adoption
- A technical owner reviews parameters and standards before publication.
X WORKER / Contract review
From contract documents to review-ready recommendations.
- Input materials
- Draft contracts, procurement policies and standard clauses
- Before adoption
- Legal and business owners approve recommendations before they enter the contract workflow.
X WORKER / Research and analysis
From scattered sources to a well-supported research brief.
- Input materials
- Industry materials, research questions and analysis templates
- Before adoption
- The research owner reviews data and conclusions before adoption.
X WORKER / Enterprise knowledge
From repeated questions to answers with sources.
- Input materials
- Policies, process documents and past Q&A
- Before adoption
- Document owners approve updates; restricted access prompts an access request.
X WORKER / Manufacturing documentation
From technical materials to structured deliverables.
- Input materials
- Technical manuals, customer requirements and standard document templates
- Before adoption
- A technical owner reviews parameters and standards before publication.
04 / ENTERPRISE AI CONTROL PLANEConnect, govern and optimize
Connect, govern and optimize
your models and agents.
Bring model access, permissions, runtime policies and feedback into one governance framework, serving X Worker and your existing applications.
Connect
Connect models and toolsConnect your chosen model APIs, knowledge and business tools so X Worker and existing applications can share AI capabilities.
Control
Define the boundariesManage identity, model access and budgets. Enforce permissions and approvals before data leaves or tools act, so AI follows your rules.
Observe
See how work runsLink applications, tasks and calls. Track usage, cost, latency and exceptions to see where resources go and how work progresses.
Optimize
Improve outcomes over timeMatch models to task difficulty. Use quality and outcome evaluations to improve routing and workflows while meeting quality requirements.
05 / ENTERPRISE AI INFRASTRUCTUREFive focused capabilities.
Five focused capabilities.
One coordinated foundation.
Start with unified model access. Add capabilities around your tasks, data and governance requirements.
One model entry point
API Platform
How do you bring enterprise model APIs under one roof?
Bring public-cloud and private models together. Manage catalogs, organizational access and application identities, with usage and budgets attributed to internal work.
Explore API PlatformRoute by task difficulty
Route Engine
Which model fits each task?
Route by task difficulty, quality, latency, budget and allowed resources. Use bounded fallback, circuit breaking and load distribution to support continuity.
Explore Route EngineData and execution boundaries
Route Fence
What can AI access, and what can it do?
Check sensitive context before sending and tool permissions before execution. Link policy decisions with actions for traceability.
Explore Route FenceResource quality and trust
Route Trust
Do your model resources keep meeting requirements?
Monitor availability, responsiveness and task capability. Detect version changes and anomalies, with evidence for admission, retesting and routing decisions.
Explore Route TrustAgent effectiveness and efficiency
Agent Eval
What results did your resources produce?
Link task success, quality, time and cost. Analyze repeated calls, retries and workflow issues to inform model and process improvements.
Explore Agent Eval06 / SECURITY & DEPLOYMENTClear boundaries for data,
Clear boundaries for data,
models and actions.
Plan around your environment: what stays inside, what may reach external models and which actions require approval.
Check before sending
Identify sensitive context on the enterprise side, then block, redact or allow it under policy.
Limit model access
Set allowed models and routes by department, application and task.
Authorize tool execution
Integrated execution endpoints check tools and parameters; high-risk actions require approval.
Keep a traceable record
Link people, agents, models and policy records, with retention configured to your requirements.
Private deployment
Host knowledge, configuration and runtime services in your environment as agreed.
Approved content still leaves your environment when you call external models.
Hybrid deployment
Process sensitive material on the enterprise side and select private or public-cloud models by policy.
Agree on credential, log and management-service locations.
Cloud deployment
Manage organizational access, model connections and tasks in the agreed environment.
Define processing scope, operational access and content retention.
07 / FROM PILOT TO SCALEStart with one scenario.
Start with one scenario.
Bring what works to more teams.
Define tasks, knowledge and workflows together. Let validation guide launch scope, then expand through training and ongoing operations.
- 01
Scenario discovery
Map job tasks and choose priority scenarios.
- Your participation
- Business owners explain goals, current practices and constraints.
- Deliverables
- A scenario list, priorities and the first validation scope.
- 02
PoC validation
Capture skills and workflows in a testable solution.
- Your participation
- Experts supply samples; business teams agree on success criteria.
- Deliverables
- A digital-worker prototype, test records and a validation report.
- 03
Integration and launch
Connect identity, models, knowledge and business tools.
- Your participation
- IT, security and business owners confirm launch readiness.
- Deliverables
- Deployment documentation, access settings and launch checks.
- 04
Training and rollout
Define how people and digital workers work together.
- Your participation
- Users and administrators join training and share feedback.
- Deliverables
- User guides, administration guidance and rollout plans.
- 05
Ongoing operations
Refresh knowledge and skills, improve and expand scenarios.
- Your participation
- Owners review results and prioritize improvements.
- Deliverables
- Operational reviews, improvements and future scenario plans.
08 / WHY SURETECHBusiness needs, model governance
Business needs, model governance
and continuous improvement, together.
Start with real business problems and build enterprise AI through a process you can review.
Define delivery around the work
Break tasks into inputs, roles, workflows and deliverables, with success criteria agreed together.
Support operations with governance
Bring access, permissions, routing and exceptions under governance, with policies matched to business quality requirements.
Improve through testing and evaluation
Examine both resource quality and task outcomes, so every change has evidence and a retest.
Your next business goal.
People and digital workers, together.
Bring your task, current environment and desired outcome. We will define the first step together.