Scope and signed engagement
We agree the cost line, the volume, the integration points, and the success measure. The fee is set as a defined portion of the saving. The thirty-day clock starts when the engagement letter is countersigned.
AI agents that take over your highest-volume functions, running continuously at a lower cost than the teams they augment. Built for regulated industries, covered by our thirty-day guarantee, priced so the savings fund the build.
Trusted by


Start with the right use case, automate the repetitive work, and deploy agents where they earn their keep. Pick the shape that fits, or tell us the function and we will recommend one.
Not sure which fits? Tell us the function, we will recommend the shape.
Request a ProposalWhere Impart agents are typically deployed, in the volumes that justify the build.
ZAR scoped // POPIA scoped // SAST timestamped
First-line customer support
~3,000 tickets/month
ZA-CPT // EN, AF, isiZulu
Document review and triage
~600 documents/week
POPIA scope
Inbound lead qualification
~200 leads/day
ZA-CPT // multilingual
Invoice and PO processing
~1,200 invoices/month
POPIA scope // SARS aligned
Compliance audit preparation
Quarterly cycle, eight days reduced to one
ZA-regulated
Internal research and reporting
~40 reports/week, six hours each to forty-five minutes
Tenant-private
Indicative ranges // Real engagements scoped to the cost line they replace
Scoped proposal back inside one business day
Six clear steps from scope to run, on three concentric rings of the engagement. Audit, Build, Operate. Fixed scope, fixed price, thirty-day guarantee on every outcome.
Six clear steps from scope to run, on three concentric rings of the engagement. Audit, Build, Operate. Fixed scope, fixed price, thirty-day guarantee on every outcome.
Stage 01 // AUDIT
We define the single function or cost line the engagement replaces. Specific, measurable, with a baseline number we work against.
We run the operations audit against that function. Data readiness, current cost, integration surface, POPIA posture, build versus buy.
Stage 02 // BUILD
We specify the system. Model choice, data flow, integration points, handover rules, governance, audit logging. Signed before a line of code gets written.
We build inside your environment. Daily progress, weekly reviews, no month-six pivots. KPIs tracked from day one.
Stage 03 // OPERATE
Your team takes the dashboards and the decisions. We document everything, train your operators, and stay on through early production.
Continuous improvement against the KPIs we locked at scope. Monthly retainer if you want us on, clean exit if you do not. Thirty-day guarantee on every outcome.
WHY IMPART // THE FIFTEEN PERCENT THAT SHIPS
Cost line // Fixed scope // Thirty-day proof
Most enterprise AI initiatives stall before they reach production. The reasons are almost never the model. They are data readiness, integration complexity, governance, and the wrong delivery partner. In South Africa, add POPIA compliance, local hosting, and regulated industries that most international consultancies have never worked with.
Impart is built for the fifteen percent that make it to production. We engage on fixed scope, work against the cost line the system replaces, and stand behind the outcome with a thirty-day guarantee. If the system is not earning its keep inside thirty days of production, we keep working for free until it is.
Priced against the work we replace.
Every engagement is scoped around a specific function and its current cost. Our fee is a defined portion of the saving, paid once the system is producing. The build funds itself.
From scope to first cost line replaced, in the thirty days the guarantee covers.
We agree the cost line, the volume, the integration points, and the success measure. The fee is set as a defined portion of the saving. The thirty-day clock starts when the engagement letter is countersigned.
By the end of the first ten days an Impart engineer has stood up the system inside your tenancy, connected the data foundations, and shipped the first internal-only build. The system is wired to the cost line and the audit log is on.
The system is in front of real volume. Calls, tickets, documents, or invoices are running through it. Outputs are reviewed by the named engagement lead alongside your operator. Tuning happens in daily cycles against the success measure.
If the system is earning its keep against the success measure, the engagement transitions to ongoing operations. If it is not, we keep working until it does, at no further cost. This is the guarantee, written into the engagement letter.
Engagement letter terms apply // Real timing scoped per cost line
Every service we offer has been rebuilt with AI at the core. Websites, ecommerce, apps, SEO, paid, content, branding, chatbots. You get a modern digital agency capability, delivered at AI speed, priced below what a traditional agency would quote for the same scope. The AI is not marketing on top of legacy work. It is in the build, in the product, and in the math of how the engagement pays for itself.
A.I. content production, A.I. SEO, A.I. app development. Tap any tile for the service.
A production AI system is a living thing. The model behaviour shifts, the data it runs on evolves, the volume changes. The work that matters most happens in the months after handover, tuning the system against real outcomes.
Our retainer clients see the strongest returns because the system compounds. Monthly engagement, no minimum term, clean exit whenever the value stops matching the fee.
One senior practitioner who owns your system end to end. They took it through scope, they took it through build, they stay through operations.
Models drift, data moves, volumes spike. We retune prompts, update retrieval sets, and adjust routing rules against your live KPIs every month.
Security patching, access controls, audit log review, and POPIA compliance posture checks. Reported monthly in plain language, formal annually.
WhatsApp and email to the engagement lead, not a ticket queue. Response measured in hours during business days, not business weeks.
Anonymised summaries of engagements in flight or recently shipped. Filler until client legal sign-off lands.
JSE-listed operator. Inbound customer-service queue running through an Impart agent for three months. Three languages, human handoff for anything the model is not confident on, audit log on by default.
Cost line replaced from headcount to system, full guarantee window cleared.
Regulated insurer. POPIA-safe document review pipeline triaging incoming submissions into four queues and routing the high-risk subset to a senior reviewer. Region-bound hosting, audit trail tested.
Eight weeks to first production traffic. Throughput up four times.
SA logistics group. Inbound lead qualification across three languages, replacing the front-line of an SDR pod for the inbound channel. Calendar bookings handed straight to the engagement lead.
Six-week build. Production traffic from Day 30.
Enterprise medical aid. Private model deployment inside Azure South Africa North for a clinical-policy chatbot. No cross-border data transfer. Tenant-private inference end to end.
POPIA posture audited before scope. Build window opens 2026-05.
Anonymised summaries. Real named case studies replace this when client legal sign-off lands.
Insights
Share the work that drains your margin. We'll come back inside one business day with a scoped proposal and the cost line it replaces.