Enterprise AI Assistant Development by Alpha Expansion
Enterprise AI Assistants01Multi-tool workflows02User-level permissions03Review and escalationBook a call

Enterprise AI Assistant Development

AN ASSISTANTINSIDEYOUR SYSTEMS

We build AI assistants for employees that look things up, prepare work and take approved actions across your business systems, always within the permissions of the person using them.

Multi-tool workflowsUser-level permissionsReview and escalation
01
Multi-tool workflowsDesigned around how your team already works.
02
User-level permissionsDesigned around how your team already works.
03
Review and escalationDesigned around how your team already works.
01Our Approach

An assistant inside a company should be able to do only what the person asking could do, and should ask before it does anything that matters.

02Overview

An assistant that works inside your systems

  • 01Multi-tool workflows
  • 02User-level permissions
  • 03Review and escalation

An enterprise AI assistant is a conversational tool for staff that connects to the systems they already use. It can find a customer record, summarize a contract, draft a reply, open a ticket or prepare an order, moving between tools in one request. We design what it may read and do, build the connections and add the review steps.

It suits organizations where people spend their day switching between systems to complete routine requests. It is a larger project than a search assistant, because actions carry risk. We start with a narrow set of tasks, give the assistant read access before write access and expand its reach as the logs show that it behaves as intended.

Talk to us about your project
03What We Do

Capabilities, End to End

01
Tool connections

The assistant calls defined functions in your CRM, ERP, help desk, calendar and document stores, each with a clear description of what it does and returns.

02
Permission passthrough

Every call runs with the identity of the signed-in user, so the assistant sees and changes only what that person is already entitled to.

03
Approval points

Actions that send, spend, delete or alter records are shown as a proposal with the evidence behind it, and wait for a person to confirm.

04
Escalation design

When a request is unclear, sensitive or outside its remit, the assistant hands over to a named team with the conversation and the facts gathered so far.

05
Company knowledge

Policies, procedures and past cases are retrieved with citations, so answers reflect how your organization works and can be checked against the source.

06
Audit trail

Each request, tool call, result and approval is logged against the user, which supports reviews, incident analysis and the questions a regulator may ask.

04In Production

What It Looks Like When It Ships

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Multi-tool workflows
User-level permissions
Review and escalation
One requestProposed actionHandover noteActivity log
05What You Receive

Handed Over, Ready to Run

SCROLL
01
Assistant in your workspace
02
Connections to agreed systems
03
Permission and role mapping
04
Approval and escalation flows
05
Knowledge retrieval with citations
06
Evaluation set and results
07
Usage and audit logging
08
Administration and documentation
06How It Runs

From Kickoff to Launch

01
Choose the tasks
02
Design the controls
03
Build and evaluate
04
Pilot and extend
01
Choose the tasks

We observe how staff handle common requests, pick a small set where an assistant saves real time and define for each one the systems involved, the allowed actions and the risks.

02
Design the controls

For every tool we set what the assistant may read and write, which actions need approval, when it must hand over and what is logged, and review the design with security and compliance.

03
Build and evaluate

Connections and conversation flows are built against test systems, then scored on realistic requests, including awkward and hostile ones, until the assistant acts correctly and refuses properly.

04
Pilot and extend

A pilot group uses the assistant on real work with close monitoring. Tasks and permissions are widened step by step as the logs and feedback support each extension.

07Technology

The Stack We Use

ModelsAnthropic APIOpenAI APIAzure OpenAIAmazon BedrockIdentityMicrosoft Entra IDOktaOAuth 2.0SAMLModelsAnthropic APIOpenAI APIAzure OpenAIAmazon BedrockIdentityMicrosoft Entra IDOktaOAuth 2.0SAML
OrchestrationLangGraphModel Context ProtocolVercel AI SDKTemporalWorkspaceMicrosoft TeamsSlackWeb applicationGoogle WorkspaceOrchestrationLangGraphModel Context ProtocolVercel AI SDKTemporalWorkspaceMicrosoft TeamsSlackWeb applicationGoogle Workspace
08Who It Is For

Built for Teams Like Yours

FLAGSHIP
Your staff spend the day switching between systems

A simple request means opening the CRM, the ERP, a shared drive and email. General chat tools cannot reach those systems safely. You want an assistant that works across them with each person's permissions, asks before it acts and leaves a record of everything it did.

Sales and account teams
Customer service desks
Operations and logistics staff
HR and people teams
Finance and procurement teams
IT and internal support
09Questions

What buyers ask before they start

If yours is not here, ask us directly. The first conversation is free and useful whether or not we work together.

Book a call

A general assistant knows the public internet and whatever you paste into it. An enterprise assistant is connected to your systems, signed in as the employee and limited to that person's rights. It can retrieve live records and prepare actions inside those systems. It is also governed, with approvals, escalation rules and logs designed for your organization and not for the general public.

If your work lives mainly in one vendor's suite and its assistant covers your tasks, configuring it is faster and cheaper. A custom assistant is justified when the important systems sit outside that suite, when you need specific approval and audit behavior or when you want freedom to choose models. We assess both honestly, and sometimes the answer is a configured product with a few custom connections.

By limiting what it can do and checking what it proposes. It receives only the tools a task needs, each call runs with the user's own permissions, and risky actions wait for explicit approval. Inputs from documents and emails are treated as untrusted, since they can contain instructions. We test with adversarial requests before launch and monitor for unusual behavior afterwards.

Any system with a usable interface, including most CRM, ERP, help desk, document and calendar products, and internal databases. Where a vendor offers a ready connector we use it. Where none exists we build one. Each connection is defined narrowly, with named functions and typed inputs, since an assistant given broad access is harder to trust than one given a short list of abilities.

With one team and a few frequent, low-risk tasks, read-only at first. That might be finding account information before a call or answering policy questions with sources. A narrow start produces evidence about accuracy, usage and savings, and builds confidence with security and compliance. Actions that change records follow once the assistant has shown that it retrieves and reasons reliably.

10Related services

Often built together

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Premium digital product and engineering studio. We build high-performance web platforms, SaaS applications, mobile apps, and 3D experiences for high-growth companies.

Alpha Expansion is a premium digital product and engineering studio specializing in React development, Next.js development, full-stack development, mobile app development, UI/UX design, and 3D interactive experiences.

We serve industries including SaaS, FinTech, Healthcare, E-commerce, Logistics, and Real Estate.