Assistants and agents connected safely to your enterprise systems.

Custom agents, chatbots, and copilots grounded in company knowledge and operational systems — respecting existing permissions and recording every action.

Start a Project See the approach
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6 steps · 1 human gate0 / 6
01 / Problem → solution

Where teams get stuck, and how we engineer past it.

THE PROBLEM
  • 01Teams spend hours searching wikis, tickets, and documents for answers.
  • 02Generic chatbots ignore document permissions and cannot act on systems.
  • 03Security teams need to see and control what an assistant can access.
OUR APPROACH
  • 01Permission-aware retrieval over your sources, with citations on every answer.
  • 02An orchestration layer that governs tool access, identity, and approvals.
  • 03Deploy where people already work — Slack, Teams, the web, or internal tools.
02 / What we build

What a enterprise ai engagement delivers.

01

Knowledge assistants

Grounded answers from company sources with citations.

02

Operational copilots

Assistants that read from and act on CRM, ERP, and ticketing systems.

03

Governed tool access

Scoped, audited integrations to internal APIs.

04

Identity integration

SSO and per-user permissions carried through every call.

05

Evaluation

Answer quality and safety suites run before each release.

06

Analytics

Usage, quality, and cost visibility for owners.

TECHNOLOGY
  • Anthropic
  • OpenAI
  • Gemini
  • Vector databases
  • RAG architectures
  • Slack
03 / Representative solutions
REPRESENTATIVE SOLUTION

Enterprise knowledge assistant

03 / 06
PROBLEM
Teams spent hours searching across wikis, tickets, and documents for operational answers.
ARCHITECTURE
Permission-aware retrieval over company sources, grounded generation, and citations on every answer.
WHAT WE BUILT
An assistant in Slack and on the web that respects existing document permissions.
BUSINESS OUTCOME
Faster answers grounded in company sources, with access controls preserved.
TECHNOLOGYAnthropicVector databasePostgreSQLSlack
REPRESENTATIVE SOLUTION

Multi-agent engineering system

04 / 06
PROBLEM
Incident triage required senior engineers to correlate logs, deploys, and code changes by hand.
ARCHITECTURE
Specialized agents for logs, traces, deployments, and code, coordinated by a supervisor with shared memory.
WHAT WE BUILT
A triage workflow producing ranked hypotheses and suggested remediation for on-call review.
BUSINESS OUTCOME
Faster diagnosis, with engineers retaining the final decision.
TECHNOLOGYLangGraphOpenTelemetryGrafanaGitHub
04 / More solutions

Explore other solutions.

What would you automate if your engineering systems could think?

Tell us the workflow, platform, or operational challenge. Softmatic can help design and build the intelligent system behind it.

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