Tactical Edge

AI systems designed to operate inside real organizations

Tactical Edge connects AI to approved data, tools, and business systems so teams can complete multi-step work with clear permissions and human review.

AWSAWS Advanced Tier Services Partner
Workflow-led delivery on AWS

Customer and partner stories

Explore how we worked with customers and AWS on defined projects and workflows.

AI initiatives can stall when the model is disconnected from the workflow, the people who own it, and the decisions it is meant to support.

When AI systems are disconnected from real workflows

Insights go unused
Decisions break down
Responsibility becomes unclear
Risk grows when permissions are unclear

From models to systems

Repeatable AI work needs more than a model: it needs workflow state, tools, testing, and operating controls.

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Model-centric AI

Returns an isolated output

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System-centric AI

Carries state across approved steps

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Tactical Edge
Model-centric AI

Responds to one request

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System-centric AI

Uses defined tools, limits, and approval points

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Tactical Edge
Model-centric AI

Does not know the business process

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System-centric AI

Connects to the people and systems in the workflow

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Tactical Edge
Model-centric AI

Provides limited operating evidence

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System-centric AI

Records tool calls, reviews, exceptions, and outcomes

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Tactical Edge

What makes an AI system agentic

Agentic systems are defined by how they operate, not by the models they use.

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Multi-step workflow

Carries a task across approved steps instead of returning one isolated response.

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Context and state

Uses task context, workflow state, and rules to choose the next approved step.

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Human-in-the-loop by design

Autonomy is paired with oversight, escalation, and control.

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Traceable execution

Records important inputs, tool calls, approvals, and outcomes for operators to review.

Platforms built for execution

Tactical Edge platforms address distinct operational systems while sharing a common architectural foundation designed for reliability, governance, and long-term use.

Connectory platform preview
Monitory platform preview
Projectory platform preview
Prospectory platform preview
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Connectory

AI-powered pull-request review that evaluates changes in repository context and reports actionable findings.

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Designed for real decision environments

Agentic AI systems must fit the people, controls, and systems behind operational, financial, and regulated work. Common environments include:

Agent Factory

Agent Factory combines reusable delivery patterns with discovery, testing, security, and rollout planning for your workflow. You get a clear path from the first use case to a system your team can operate.

Scope & controlsConfirmed in discovery
Phased deliveryTest before scale

From your data to production agent

Your Data & Systems
Agent Architecture
Governance & Security
Production Agent
Live AgentOps

A plan built around your workflow

Move from use-case discovery through build, testing, and controlled rollout. We set the timeline after mapping your data, integrations, controls, and dependencies.

A business case based on your baseline

Compare how the workflow operates today with the cost and expected value of the proposed system, then measure the result during the pilot.

Security from the start

Design identity, policy, testing, operating records, and human approval around the workflow from the outset.

Read the engagement stories

See the problem, the approach, and what changed in each customer or partner story.

AWS logo

AWS partner collaboration

Amazon Quick enablement on AWS

How Tactical Edge and AWS are working together on Amazon Quick workflows that connect business users with approved enterprise data.

View the story
Red River logo

Customer story

AI-assisted knowledge workflows

How Red River brought technical knowledge, source context, and service-team review into an AI-assisted workflow.

View the story
HÖRMANN Digital logo

Historical customer story

Condition-monitoring evaluation

How HÖRMANN Digital tested an Amazon Monitron condition-monitoring workflow at selected sites.

View the story

Frequently Asked Questions

Agentic AI connects models to tools and business systems so they can complete multi-step tasks. Your team sets what the system may access or change and where a person must review its work.

Tactical Edge builds agentic AI workflows, generative AI and LLM applications, cloud foundations for AI workloads, and data analytics platforms. We start with a defined business task, connect the systems it needs, and agree with your team on permissions, review steps, and success measures.

Yes. Tactical Edge is an AWS Advanced Tier Services Partner. We select AWS services for your workload, then test the architecture, security, cost, and operating controls with your team. AWS makes its own program eligibility and funding decisions.

Tactical Edge works with teams in manufacturing, financial services, healthcare, technology, and professional services. We adapt each workflow to the customer's data, operating process, permissions, and review needs.

We begin by defining the use case, success measures, approved data, risks, and operating owner. From there, we can move through a proof of concept, pilot, implementation, integration, and managed operations at the pace your dependencies and approval process support.

Generative AI produces content from a prompt. Agentic AI can use that model output while working through a multi-step task in connected business systems. The customer decides which actions are permitted and which steps need human review.

Are your AI initiatives designed to operate under real organizational constraints?