From scattered enterprise knowledge to one trusted way to ask, and act.
The institutional knowledge that should let employees do their best work is already documented — just scattered across forty different repositories, owned by twelve different teams, governed by inconsistent permissions. The Knowledge & Action Agent unifies it on AWS — connected, cited, permission-aware, and able to take governed action on the user’s behalf when the workflow calls for it.
What is the Knowledge & Action Agent?
A unified knowledge-and-action layer for the enterprise, built on AWS-native services. It connects to every source your teams already use, answers natural-language questions with cited, permission-aware grounding, and takes the action that comes after the answer — under audit, with governed approvals where the workflow demands them.
Four capabilities, in this order.
None of the later capabilities work if the earlier ones are not solid. Connect first. Answer second. Respect permissions always. Then — and only then — take action.
Knowledge stops being a place employees go to look. It becomes a service they ask.
An HR query that previously meant a fifteen-minute search across SharePoint, the policy portal, the new-joiner handbook and an old email thread becomes one question with a cited answer — and, if the user wants to act on it, a drafted leave request in Workday ready to submit.
A legal query that previously meant rereading the same MSA clause for the fourth time this quarter becomes one cited paragraph, with the renewal date flagged, and a redline drafted against your standard template if the language deviates.
A solutions architect’s discovery section that previously meant rewriting from a blank page becomes a structured draft assembled from your three strongest prior proposals, every paragraph traced to its source, assigned to a deal partner for review.
One platform. An experience for every team.
Most enterprises start by deploying against one knowledge domain that is high-frequency, well-bounded, and where the source documents are already reasonably current.
Handles leave, benefits, onboarding, travel, expenses and internal procedure questions — and can submit Workday requests on behalf of the asking employee.
For in-house counsel: searches the contract repository, surfaces obligations and renewal terms, identifies non-standard clauses, and prepares redlines for human review.
Assembles proposal sections, case studies, pricing narratives and competitive responses from prior wins — never inventing facts, always citing sources.
Summarises status, decisions, risks and actions across project folders. Creates Jira tickets for the open items so nothing is dropped between meetings.
Answers Tier-1 support questions, guides troubleshooting through your runbooks, and creates ServiceNow incidents with diagnostic context already attached if escalation is required.
Maps internal controls to regulator clauses, surfaces missing evidence, and supports examiner preparation. Flows into AgentGuardian where the workflow is in regulatory scope.
These are not separate products. They are the same platform configured for the source systems, the language, and the workflow of one team. Most enterprises extend from the first deployment to three or four others within the first six months.
Working software in your AWS account, and the artefacts that surround it.
The platform itself ships in your environment, connected to the knowledge sources that matter most for your first use case — typically three sources for the MVP, expanding to your full estate during enterprise rollout. Permission-aware crawling is configured against your identity provider, validated against representative users, and verified end-to-end before the first pilot user sees a response.
The first knowledge experience ships within four weeks, tuned to your team’s language and connected to your team’s systems. The action layer is configured in two waves — low-risk drafting and ticket creation in the first wave, executing autonomously under audit; financial, customer-facing and regulated actions in the second wave with human-in-the-loop approval gates defined in collaboration with your AI Risk Committee, Compliance and Internal Audit.
Beyond the platform itself, each engagement produces an admin dashboard with usage analytics, citation rates, action volumes, top topics and unanswered questions; a content-gap report identifying where your knowledge base is weak or out of date; a monthly executive readout with adoption metrics, ROI signal, top use cases and the next-quarter improvement backlog; and an adoption playbook covering champion network, training materials per persona, and acceptance metrics per team.
Every interaction — every query, every retrieved source, every response, every action, every approval, every exception — is captured in the platform’s audit trail. For enterprises in MAS, APRA, RBI, HKMA or OJK scope, that audit trail flows directly into Glacien’s AgentGuardian for examiner-defensible evidence.
A four-phase sequence, with executive checkpoints.
Each phase ends with an executive checkpoint so your sponsor always knows whether to expand, hold, or course-correct.
Discovery & source connection
Glacien identifies the highest-value first use case with your business sponsors. Top three knowledge sources connected through Amazon Q Business. Permission-aware crawling validated. Identity propagation through IAM Identity Center configured.
First experience live & pilot
Platform ships into your AWS account, tuned to the first use case. Twenty to fifty pilot users begin asking real questions in real workflows. Glacien measures citation accuracy, hallucination rate, coverage, latency and satisfaction.
Expansion & action layer
Two adjacent use cases added. Action layer configured — first for low-risk drafting and ticketing actions executing autonomously, then for higher-risk actions with human-in-the-loop approval. AgentGuardian governance integrated for regulated workflows.
Enterprise rollout & stewardship
Access expands from pilot users to the broader workforce. A content stewardship model is established — named owners per source, freshness expectations, quarterly content review cycle. First monthly executive readout delivered.
By the end of quarter one, the platform is in production, the action layer is live for at least one workflow, and an enterprise rollout plan is on the table for the next two quarters.
From validation to enterprise rollout to continuous improvement.
Each path produces working software in your environment. Each path leads to the same enterprise-wide knowledge-and-action capability.
4-week MVP
One knowledge experience against three sources. Twenty to fifty pilot users. MVP success report, a deployment running in your AWS account, and a decision-ready case for enterprise rollout.
Enterprise rollout
Multi-source enterprise search. Five or six knowledge experiences. Action-layer integration. Permission & access-control design. Admin dashboard, governance logging, training, adoption support. A production platform supporting thousands of users.
Managed knowledge operations
Knowledge base tuning & retrieval optimisation. Usage analytics & unanswered-question analysis. Content-gap reporting and prompt iteration. Governance reporting and a monthly improvement backlog.
AWS-native. Your data, your account.
The Knowledge & Action Agent extends AWS-native services rather than replacing them. Enterprise data stays inside the customer-controlled AWS environment.
Amazon Q Business native
Enterprise assistant with built-in permission-aware responses, citations, hallucination mitigation, and 40+ connector types out of the box.
RAG over enterprise data
Amazon Bedrock Knowledge Bases covers vector, structured, and graph retrieval. Multiple foundation models per use case.
Agent & action layer
Bedrock Agents and AgentCore Runtime orchestrate. AgentCore Gateway executes actions against Lambda, OpenAPI, Smithy, Step Functions.
Identity, governance, audit
IAM Identity Center for SSO. Bedrock Guardrails for safety. CloudTrail, CloudWatch, KMS, VPC endpoints for governance. AgentGuardian for regulated workflows.
How to buy.
Direct today. AWS Marketplace soon. Sovereign on request.
The Knowledge & Action Agent is delivered today through direct procurement with Glacien as a customer solution offering. Engagements are scoped, contracted, and delivered into your AWS account.
The AWS Marketplace listing is in progress. Once live, the platform will be available as an AWS Marketplace SaaS Contract with Private Offer and Channel Partner Private Offer support, with AWS Enterprise Discount Program (EDP) commit applying against the contract value. Customers who begin today through direct procurement will be transitioned to Marketplace fulfilment at no additional fee when the listing goes live.
Sovereign and on-premises deployments — for customers with data residency or air-gap requirements — are scoped as customer solution offerings only.
We build enterprise AI you can put in front of every employee.
The Knowledge & Action Agent is the front door — the platform your teams use every day to find trusted answers and complete approved work. The honest comparison to Glean and Microsoft Copilot for Enterprise: those products solved the answering layer well. We solved the same answering layer on top of AWS-native infrastructure, added the governed action layer that comes after the answer, added the regulator-defensible evidence model that comes after the action, and built it on procurement terms that will apply against your existing AWS commit once our Marketplace listing goes live.
AWS Select Partner with Agentic AI specialisation. Singapore-headquartered with onshore leadership and offshore engineering across India. We do not advise. We build, deploy, govern, and stand behind what we deliver.
Enterprise AI, answered.
Ready to give your teams
one trusted way to ask, and act?
Book a 30-minute walkthrough. We will show a live agent answering enterprise questions with permissions and citations, demo an approved business action, and scope a 4-week MVP for your strongest use case. No slides that waste your time.