AI Agent Development

• We are not a slide-deck agency. Peham Limited builds and runs its own SaaS products — including Tejarify for retail and wholesale operations and DealDesk for real estate deal management. That operator experience shows up in how we scope projects, design data models, and plan releases.
• You get a team that has shipped billing flows, role-based access, integrations, and production incident response on our own platforms — not just on client demos.

Agentic AI solutions with boundaries

Agents fail loudly when they lack context or permissions. We design explicit tool schemas, max step counts, and escalation to humans.

Multi-agent systems split research, execution, and verification — but only when that split reduces errors, not because it sounds impressive.

Where agents help first

Support summarization and routing, sales research packs, operations checklists, and internal knowledge lookup are strong first projects.

We avoid agents on irreversible actions without approval — payments, legal filings, and bulk deletes always get a human checkpoint.

Evaluation before hype

We maintain golden test cases and track regression when models or prompts change.

You see pass rates and failure categories, not a single demo that worked once.

Who this is for

Operations leaders drowning in repeatable decisions across tickets, orders, or documents — where a supervised agent saves hours per week per person.

Product teams embedding agentic workflows into existing software with strict permission boundaries and audit requirements.

Organizations that tried generic chatbots and need tool-connected agents that update CRMs, ERPs, or internal databases with traceable actions.

We start with one workflow, measure time saved and error rate, then expand scope — so you see value before funding a fleet of agents.

Book a discovery call at meet.peham.ltd/pehamltd or message us on WhatsApp with the service name and a short project summary — we reply with practical next steps, not a generic pitch deck.