Krews Agent

AI operators that understand the company they work for.

A managed AI operator built around your SOPs, policies, products, knowledge, escalation rules and tools. We design it, wire it into your systems, host it and keep tuning it.

01System

One operator. Every layer behind it.

Channels, tools and rules, models and memory, company knowledge, and the operations that keep it all honest. Krews builds and runs every layer.

Krews AgentManaged AI operatorOnline

Understands

  • Company profile
  • SOPs
  • Policies
  • Products
  • Knowledge base
  • Brand voice
  • Escalation rules
  • Internal tools
  • Workflows

Built, hosted and maintained by Krews

  1. L1InterfaceChannels
    • Website chat
    • Email
    • Helpdesk inbox
    • Internal chat
  2. L2ApplicationTools & rules
    • CRM and order actions
    • Escalation rules
    • Human handoff
    • Workflows
  3. L3IntelligenceModels & memory
    • Model routing
    • Conversation memory
    • Tuned adapters
    • Evaluations
  4. L4DataCompany knowledge
    • SOPs and policies
    • Products
    • Knowledge base
    • Retrieval index
  5. L5InfrastructureOperations
    • Private or shared inference
    • Tracing
    • Analytics
    • Maintenance

02Assembly

Assembled from your company.

  1. Company: It starts with who you are. Your profile, voice, markets and hours. The agent speaks as your company, not as a model with your logo on it.
  2. Knowledge: Then, what you know. SOPs, policies, product data and help content are ingested, structured and indexed for retrieval, then kept fresh as they change.
  3. Rules: Then, what it must never get wrong. Escalation thresholds, compliance limits and identity checks are enforced by the system, not suggested in a prompt.
  4. Tools: Then, what it can actually do. Scoped access to the systems your team uses. The agent resolves things instead of explaining how to contact support.
  5. AI: Then, the models, picked per task. Requests are routed to the right model for the job. Brand voice lives in a tuned adapter. Every release is gated by evaluations.
  6. Krews Agent: The result: an operator that knows where it works. One agent, assembled from your company, your knowledge, your rules and your tools. Deployed, monitored and maintained by Krews.

03Roles

One system. Many jobs.

The architecture stays the same. The knowledge, tools, voice and escalation rules change with the work.

Customer service

Resolves orders, returns, accounts and questions end to end.

Voice Calm, direct, solves first

Knows

  • Returns & warranty SOPs
  • Order policies
  • Help centre

Can do

  • orders.lookup
  • shipping.reship
  • helpdesk.close

Hands to a human when

Refund above threshold, or repeated frustration

04In practice

One request, end to end.

Classification, retrieval, tool calls and policy checks. Each one is traced and testable.

Illustrative runA damaged order, resolved without a queue.

  1. Customer, message: Customer. My order arrived damaged. Can I get a replacement before Friday?
  2. Krews Agent, classify: Intent. damaged_item · replacement · deadline: Fri
  3. Krews Agent, retrieve: Returns SOP §3. Damaged on arrival → free replacement, no return needed
  4. Company systems, tool call: orders.lookup. Delivered Tuesday · 1 item · verified customer
  5. Company systems, tool call: inventory.check. In stock
  6. Krews Agent, policy check: Escalation rules. Under review threshold · no human needed
  7. Company systems, tool call: shipping.reship. Express · arrives Thursday
  8. Resolution, resolve: Resolved. A replacement ships today and arrives Thursday. No need to send the damaged one back.

05Lifecycle

Discover → architect → deploy → integrate → tune → monitor → maintain.

The last three never stop. That’s what “managed” means.

continuous

Discover

Learn the company it will work for.

We read your conversations, SOPs and systems with your team, and write down what a good resolution looks like before anything is built.

Krews handles

  • Use-case mapping
  • Conversation audits
  • SOP and policy review
  • Success criteria
  • Risk and compliance

What Krews handles

Build

  • Discovery
  • Architecture
  • Knowledge and SOP ingestion
  • RAG
  • Tool use and actions
  • Evaluation sets

Model

  • Model routing
  • Fine-tuning
  • LoRA
  • SFT
  • Preference tuning (DPO)
  • Hallucination cleanup

Connect

  • CRM integrations
  • Helpdesk integrations
  • APIs
  • Human handoff
  • Channels
  • Permissions and audit logs

Operate

  • Hosting and deployment
  • Private or shared inference
  • Monitoring and analytics
  • Model upgrades
  • Security updates
  • Cost optimization

06Deployment

Shared or private inference. Same care either way.

Shared

Runs on infrastructure Krews operates.

  • Fastest path to production
  • Knowledge, rules and logs isolated per company
  • Frontier or open-weight models, routed per task
  • Scaling, upgrades and security handled by Krews

Private

Runs inside your boundary.

  • Your cloud, your region, or dedicated hardware
  • Open-weight models on private inference servers
  • Conversation data stays in your infrastructure
  • Same monitoring and maintenance from Krews

07Questions

Asked often

No. There’s no builder to configure. Each deployment is designed, integrated and tuned by Krews around one company: its knowledge, rules, tools and voice.

Whichever pass the evaluations for your use case. Requests are routed between smaller and larger models, open-weight and frontier, based on the task, cost and data constraints. Brand voice can live in a tuned adapter.

Answers are grounded in retrieved company knowledge, sensitive actions go through rules the system enforces, and every step is traced. When it gets something wrong, that conversation becomes a test case that runs before every release.

It hands the conversation to a person in your helpdesk, CRM or chat tool, along with a summary and the context it gathered. Nobody has to ask the customer twice.

CRMs, helpdesks, order and booking systems, calendars, internal tools and your own APIs. Every tool gets scoped permissions and an audit log.

We keep running it: monitoring, analytics, model upgrades, knowledge refreshes, hallucination cleanup, security updates, cost optimization and ongoing behavioral tuning.

Put an operator to work.

Tell us where conversations and tickets pile up. We’ll tell you plainly whether an agent is the right fix.