M
MANAGED AGENTS · ENTERPRISE AI WORKFORCE

We build, deploy, and manage AI workers for everyday businesses.

Managed agents that follow up, qualify, schedule, collect, and support embedded in your stack, supervised by us, accountable to your team.

0
Agents in production
0%
Tasks handled autonomously
0×
ROI average
Days
Pilot to production, not months
01 / THE JOURNEY

Four stages,
one accountable workforce.

A four-stage engagement for companies adopting AI automation responsibly. We own the digital worker end-to-end from the first use-case audit to the quarterly SLA review so your team can stay focused on judgment, not plumbing.
01 / PLAN
STRATEGY & ALIGNMENT

Plan.

Pick the right workflows before you automate them. We map every process against business risk, model capability, and human oversight requirements to ensure clear ROI.

01Readiness Audit. ROI Estimation
02Use-Case Prioritization
03Deployment plan
04Oversight Model Design
02 / BUILD
ENGINEERING & MIGRATION

Build.

From legacy workflows to agentic systems. We design and implement agents connected to your stack, migrating existing processes into trusted automation environments.

01Custom Agent Development
02Legacy System Migration
03API & Stack Integration
04Automated Evaluation Pipelines
03 / DEPLOY
INTEGRATION & GOVERNANCE

Deploy.

Safe, controlled, and auditable production. We wrap agents with policies and monitoring so your teams can move into production with absolute visibility.

01Harness & Governance Customization
02Safe Rollout Management
03Change & Training Support
04Audit & Security Hardening
04 / OPERATE
MANAGED LIFECYCLE

Operate.

Agents need owners and continuous tuning. We stay accountable for performance refining models and workflows with your team in the loop to maintain scale.

01Continuous Monitoring
02Prompt & Workflow Tuning
03Incident Response
04SLA-Driven Optimization
02 / USE CASES

The work your
team shouldn't be doing.

Every Managent deployment is bespoke but most digital workers earn their keep in one of these lanes first. Pick a lane, or ask us to scope something custom.
01 / USE CASE

Publisher

An AI-powered CMS that creates and translates content, generates context-aware images, runs on-site chat, assessments, and interviews, manages newsletters and social — with a real-time integrity monitor and a backend that learns every reader.

More content output
10X
Languages shipped
6+
Explore use case
02 / USE CASE

Outreach

An AI outbound sales agent that interviews you to design the campaign and ideal customer profile, writes multivariate email sequences, builds and enriches the contact list, sends from warmed-up inboxes, and delivers replies to a unified inbox ready for your CRM.

Cost per qualified lead
−70%
Campaigns running
24/7
Explore use case
03 / USE CASE

Support

An AI ticketing platform for internal departments IT, HR, legal, finance, and admin. Employees raise tickets; AI agents trained on your rules, policies, and culture propose a solution, and your team approves it before it reaches the employee.

Requests captured as tickets
100%
Auditable resolutions
100%
Explore use case
04 / USE CASE

AI Academy

Employee training delivered by AI avatars tutorials, certifications, and full learning paths. Clone your own experts from a few minutes of video or even a set of photos, keep courses current with a quick edit, and let AI mentors answer questions by email, WhatsApp, and phone escalating to human mentors when needed.

Production cost
−90%
Courses stay current
1 edit
Explore use case
05 / USE CASE

Voice and Chat

An omnichannel agent that sends and receives phone calls and handles email, WhatsApp, and SMS trained on your company's rules and policies and on your operation manuals, processes, product catalogs, FAQs, and knowledge bases, with human handoff when it matters.

First response
< 2 min
Reachable on
4 channels
Explore use case
06 / USE CASE

Public Biddings Portal

Public bidding discovery, qualification, legal document analysis, and proposal drafting agents summarize and draft, humans authorize and submit.

Time-to-first-draft
−72%
Qualified bids / qtr
3.5×
Explore use case
04 / THE MANIFESTO

We design, build, and supervise agents that can be trusted inside real enterprise operations.

The Managent Principles
01
Speed & Execution
Move from pilot to production in days, not months. AI only works if it is live and delivering value.
02
Operational Discipline
Built on business risk and reality, not model promise. We design for failure modes and exceptions first.
03
Governance by Design
Auditability and control are non-negotiable foundations, not optional add-ons. Scale requires oversight.
04
Accountable Autonomy
Agents manage the work; humans manage the outcomes. Humans stay in the loop for judgment and authority.
05
Pragmatic Intelligence
Every token and every workflow must deliver measurable economic value. We prioritize ROI over model hype.
05 / FIT FINDER

Three questions.
One right first agent.

Not every process deserves an agent and the wrong first deployment will set your program back six months. Tell us what eats your team's time and we'll point you at the workflow we'd pilot first.

Q01
Q02
Q03
Which channel eats the most of your team's time?
01 / 03