Inbound Sales
From following up with & qualifying leads to running negotiations and autonomously generating revenue over phone and email.
70% reduction in cost per lead
10% margin increase
The Journey
A four-stage journey for companies adopting AI automation responsibly
01
Plan
Strategy & Alignment
Pick the right workflows before you automate them. We map every process against business risk, model capability, and human oversight requirements to ensure a clear ROI.
Use-Case Prioritization
Governance Risk Mapping
ROI & Readiness Audit
Oversight Model Design
02
Build
Engineering & Migration
From legacy workflows to agentic systems. We design and implement agents connected to your stack, migrating existing processes into trusted automation environments.
Custom Agent Development
Legacy System Migration
API & Stack Integration
Automated Evaluation Pipelines
03
Deploy
Integration & Governance
Safe, controlled, and auditable production. We wrap built agents with policies and monitoring so your teams can move into production with absolute visibility.
Governance Policy Design
Safe Rollout Management
Change & Training Support
Audit & Security Hardening
04
Operate
Managed Lifecycle
Agents need owners and continuous tuning. We stay accountable for performance, refining models and workflows with your team in the loop to maintain scale.
Continuous Monitoring
Prompt & Workflow Tuning
Incident Response
SLA-Driven Optimization
Common use cases our customers deploy
Customer Service
Over web chat , phone, or other channels, providing 24/7 access to updates and inquiries with ticket creation and follow-up.
100% response rate; 0min FRT
50%+ autonomously handled
Recruiting & Staffing
Handling candidate screening and shift confirmation to ensure proper staffing and accurate resource planning.
20% more candidates captured
60% shift confirmation increase
Appointment scheduling
Via conversation or through booking sites, our AI workers handle scheduling and rescheduling autonomously.
1000x faster scheduling
25% of the cost
Payment collections
Following up on unpaid invoices with intelligent escalations, phone-tree navigation, and document verification.
119x ROI on cash collected vs cost to collect
Proven results
Built for the real world
Our focus is on automating complex work inside real enterprises, where failure modes, exceptions, and human accountability all have consequences.
MIT Technology Review
A multilingual CMS operating model for editorial, subscriptions, and audience automation
We designed and implemented an agent-enabled CMS for MIT Technology Review's international editions, automating content ingestion, translation, publishing, newsletters, and social distribution while preserving editorial control.
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Tender Tools
An agent-assisted platform for finding the right public tenders and writing stronger proposals
We created Tender Tools as a practical AI platform for companies bidding on public tenders, combining tender discovery, profile-based matching, legal document analysis, and a proposal-writing workflow.
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Aurora Residences
Designing a concierge-level operating model for premium residential assets
We implemented a multi-agent system for a high-end residential developer to manage tenant inquiries, maintenance orchestration, and lease renewals with 24/7 responsiveness and human-level context.
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Manifesto
The Managent Principles
We design, build, and supervise agents that can be trusted inside real enterprise operations.
01
Speed & Execution
Move from pilot to production in weeks, not years. 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. We keep humans 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.